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BIRLA INSTITUTE OF TECHNOLOGY CHOICE BASED CREDIT SYSTEM (CBCS) CURRICULUM (Effective from Academic Session: Monsoon 2018) BACHELOR IN COMPUTER APPLICATION Page 1 of 375
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BIR LA IN S TI TUTE O F TEC HN OLOG Y

CHOICE BASED CREDIT SYSTEM (CBCS) CURRICULUM

(Effective from Academic Session: Monsoon 2018)

BACHELOR IN COMPUTER APPLICATION

DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

Institute Vision

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To become a Globally Recognised Academic Institution in consonance with the social, economic and ecological environment, striving continuously for excellence in education, research, and technological service to the National needs.

Institute Mission

To educate students at Under Graduate, Post Graduate, Doctoral, and Post-Doctoral levels to perform challenging engineering and managerial jobs in industry.

To provide excellent research and development facilities to take up Ph.D. programmes and research projects. To develop effective teaching learning skills and state of art research potential of the faculty. To build national capabilities in technology, education, and research in emerging areas. To provide excellent technological services to satisfy the requirements of the industry and overall academic needs of society.

Department Vision:

The department strives to be recognized globally for outstanding education and research, leading to excellent professionals and innovators in the field of Computer Science and Engineering, who can positively contribute to the society.

Department Mission

1. To impart quality education and equip the students with strong foundation that could make them capable of handling challenges of the new century.

2. To maintain state of the art research facilities and facilitate interaction with world’s leading universities, industries and research organization for constant improvement in the quality of education and research.

Graduate Attributes

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1. Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

2. Problem Analysis: Identify, formulate, research literature and analyze complex engineering problemsreaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

3. Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.

4. Conduct investigations of complex problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.

5. Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

6. The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.

7. Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

9. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.

11. Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

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12. Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life- long learning in the broadest context of technological change.

Programme Educational Objectives (PEOs)

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/development of solutions: Design solutions for complex engineering problems and design system components or

processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural,

societal, and environmental considerations

4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

(A)Programme Outcomes (POs)

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

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6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in

multidisciplinary settings. 10. Communication: Communicate effectively on complex engineering activities with the engineering community and with

society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

(B) Programme Specific Outcomes (PSOs)

13. The ability to analyze, design, code and test application specific or complex engineering problems in Cryptography and

Network Security, Design and Analysis of Algorithm, Computer Networks, Cloud Computing, Mobile Computing, Data

Mining and Big Data by applying the knowledge of basic sciences, engineering mathematics and engineering fundamentals.

14. The ability to adapt for rapid changes in tools and technology with an understanding of societal and ecological issues relevant

to professional engineering practice through life-long learning.

15. Excellent adaptability to function in multi-disciplinary work environment, good interpersonal skills as a leader in a team in

appreciation of professional ethics and societal responsibilities.

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PROGRAMME COURSE STRUCTURE (ALL SEMESTERS)

BIRLA INSTITUTE OF TECHNOLOGY- MESRA, RANCHINEWCOURSE STRUCTURE - To be effective from academic session

2018- 19 Based on CBCS & OBE modelRecommended scheme of study

(BACHELOR OF COMPUTER APPLICATIONS)

Semester/ Session of

Study (Recomen

ded)

Course Level

Course Code Cour

ses

Mode of delivery & credits L-Lecture; T-Tutorial;P- Practicals

Total CreditsC-

Credits

L(

Periods/

week )

T(Periods/

week)

P(Periods/

week)

C

THEORY

FIRST

FIRST

CA101 Problem Solving and Programming in C

3 0 0 3

CA103 Logical Organizations of Computers

3 1 0 4

MT124 Business Communication Basics

2 0 0 2

CE101 Environmental Science 2 0 0 2

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Monsoon

CA104 Mathematics-I (Elementary Mathematics)

3 0 0 3

LABORATORIES

FIRSTCA102 Problem Solving and

Programming in C Lab0 0 4 2

PE(SEC-I) Paper-I (Skill Enhancement

Course)

0 0 4 2

TOTAL 18

SECONDSpring

THEORY

FIRST

CA155 Data Structures 3 1 0 4

CA157 Discrete Structures 3 0 0 3

CA160 Operating System Concepts 3 0 0 3

CA158 Numerical and Statistical Methods

3 0 0 3

LABORATORIES

FIRST

CA156 Data Structures Lab 0 0 4 2

CA161 Operating System Lab 0 0 4 2CA159 Numerical and Statistical

Methods Lab0 0 4 2

PE(SEC-II)

Paper-II (Skill Enhancement Course)

0 0 4 2

TOTAL 21

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THIRDMonsoon

THEORY

SECOND

CA201 Object Oriented Programming using Java

3 0 0 3

CA203 Database Management Systems

3 1 0 4

** Program Elective- I 3 1 0 4LABORAT

ORIES

SECOND

CA202 OOP in Java Lab 0 0 4 2

CA204 DBMS Lab 0 0 4 2

** PE1 Lab 0 0 4 2

PE(SEC-III)

Paper-III (Skill Enhancement Course)

0 0 4 2

TOTAL 19

FOURTH

THEORY

SECOND

CA255 Fundamentals of Computer Algorithms

3 1 0 4

CA256 Web Programming 3 0 0 3

CA258 Software Engineering 3 0 0 3

** Program Elective- II 3 1 0 4

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Spring LABORATORIES

SECOND

CA257 Web Programming Lab 0 0 4 2

CA259 Software Engineering Lab 0 0 4 2

** PE-II Lab 0 0 4 2

TOTAL 20

FIFTHMonsoon

THEORY

THIRD

CA301 Computer Graphics and Multimedia

3 0 0 3

CA303 Computer Networks 3 0 0 3

CA304 Management Information Systems

3 0 0 3

SECOND

PE-III Program Elective -III 3 0 1 4

THIRD PE-IV Program Elective -IV 3 0 0 3

LABORATORIES

THIRD CA302 Computer Graphics Lab 0 0 4 2

SECOND

** PE-III Lab 0 0 4 2

THIRD PE(SEC-IV)

Paper-IV (Skill Enhancement Course)

0 0 4 2

TOTAL 22

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SIXTHSpring

THEORY

THIRDCA355 Data Mining 3 0 0 3

CA356 Distributed Computing 3 0 0 3

THIRD ** Program Elective -V 3 1 0 4

THIRD ** Program Elective-VI 3 1 0 4

CA360 Project 0 0 0 6TOTAL 20TOTAL

PROGRAM CREDITS

120

LIST OF PROGRAM ELECTIVES

PE/LEVEL

Code No Courses

Mode of delivery & credits

L-Lecture; T-Tutorial;P-

TotalCredits

L(

Periods/

week )

T(Periods/

week)

P(Periods/

week)

C

2

PEI

CA220 Internet Technologies 3 1 0 4

2 CA221 Internet Technologies Lab 0 0 4 2

2 CA222 Mobile Application(MA) 3 1 0 4

2 CA223 Ecommerce Technology 3 1 0 4

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PEII

2 CA271 Soft Computing and  Applications

3 1 0 4

2 CA272 Soft Computing Lab 0 0 4 2

CA 273 Data Analytics 3 1 0 4

CA 274 Data Analytics Lab using R Language

0 0 4 2

2

PEIII

CA224 Cloud Computing 3 1 0 4

2 CA275 Android Programming 3 1 0 4CA 276 Android Programming Lab 0 0 4 2

2 CA 277 Python Programming 3 1 0 4

2 CA 278 Python Programming Lab 0 0 4 2

3

PEIV

CA320 Software Testing 3 0 0 3

3 CA321 Software Testing Lab 0 0 4 2

3 CA322 Network Security 3 0 0 3

3

PEV

CA323 Cyber Forensics 3 1 0 4

3 CA325 Unix and Shell Programming

3 1 0 4

3 CA326 Unix and Shell Programming Lab

0 0 4 2

3

PEVI

CA327 System Programming 3 1 0 4

3 CA328 Distributed Database Systems

3 1 0 4

3 CA331 Decision Support System 3 1 0 4PROGRAM ELECTIVES (LIST OF SKILL DEVELOPMENT COURSES)

Mode of delivery & credits

TotalCredits

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PE/LEVEL

Code No Subjects

L-Lecture; T-Tutorial;P-

L(

Periods/

week )

T(Periods/

week)

P(Periods/

week)

C

1 PE(SEC-I)

CA180 Office Automation Tools 0 0 4 2

1PE(SEC-II)

CA181 Desktop Publishing0 0 4 2

2 CA280 HTML Programming 0 0 4 2

2PE(SEC-III)

CA281 Programming in Visual Basic/GAMBAS

0 0 4 2

2 CA284 Programming in SCILAB 0 0 4 2

3PE(SEC-IV)

CA380Computerized Accounting

0 0 4 2

3 CA381 Graphic Design 0 0 4 2

BLOOM’S TAXONOMY FOR CURRICULUM DESIGN AND ASSESSMENT:

Preamble

The design of curriculum and assessment is based on Bloom’s Taxonomy. A comprehensive guideline for using Bloom’s Taxonomy is given below for reference.

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COURSE INFORMATION SHEET

Course Code: CA101Course Title: PROBLEM SOLVING AND PROGRAMMING IN CPre-requisite(s): Basic SciencesCo- requisite(s):Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A Understand the fundamentals of C programming.B Learn about different problems and the approach to solve them.C Gain proficiency with the fundamental concepts of the C programming

Language D Be able to apply these concepts to solve real world problemsE Able to program in C programming for a given application

Course Outcomes

After the completion of this course, students will be able to:

CO1 Choose the loops and decision-making statements to solve theproblem.

CO2 Implement different Operations on arrays.CO3 Use functions to solve the given problem.CO4 Understand pointers, structures and unions.CO5 Implement file Operations in C programming for a given application.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Problem Solving and Programming Concepts: Problem Solving in Everyday Life, Types of Problem, Problem Solving with Computers.Overview of C: History of C, Importance of C, Structure of C program, Sample of C programs. Constant, Variable and Data types: C Tokens – keywords, identifier, constant, string, and operators, and symbols, Data types – primary data types, user defined data types, and derived data types, Declaration of variables, assign values to variables.Operators and Expressions: Different types of operators – arithmetic operators, relational operators, logical operators, assignment operators, increment and decrement operators, bitwise operators, conditional operators and special operators, Arithmetic expressions – precedence of arithmetic operators, Type conversions in expressions.Managing input and output operations: Reading a character, Writing a character, Formatted input, Formatted output.

10

Module – II

Decision making and Branching: Decision making with if statement – Simple if statement, The if …. Else statement, Nesting of if …. Else statement, The else if ladder, The switch statement, The ? : Operator, The go-to statement.Decision making and Looping: The while statement, The do statement, The for statement, Jumps in loops.

10

Module – III

Arrays: One - dimensional arrays, Declaration of one – dimensional arrays, Two – dimensional arrays, Declaration of two – dimensional arrays, Multi – dimensional arrays.Character Arrays and String: Declaring and initializing string variables, Reading string from terminal, Writing string to screen, Putting string together, Comparison of two strings, String handling functions, Other features of strings.

7

Module – IV

User defined functions: A multi – function program, Definition of function, Function calls, Function declaration, Category of functions,

8

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Nesting of functions, Recursion, Passing arrays to functions, Passing strings to functions

Module – V

Structures and Unions: Defining a structure, Declaring structure variables, Accessing structure members, Arrays of structures, Arrays within structures, Structures within structures, Structures and functions, Union.Pointers: Understanding pointers, Accessing the address of a variable, Declaring pointer variables, Pointer expressions, Array of pointers, Pointers to function, Pointers and structures.File Management: Defining and opening a file, Closing a file, Input/Output operations on files, Error handling during I/O operations

5

Text Books:1. Balagurusamy E., “Programming in ANSI C”, 5thEdition, TMH, 2010.(T1)2. Sprankle M., “Problem Solving and Programming Concepts”, 7thEdition, Pearson Education, New Delhi, 2006.(T2)

Reference Books: 1. Gottfried B. S., “Programming with C”, Schaum Series, McGraw Hill, 2005. (R1)2. Kanetkar Y., “Let us C”, 4th Edition, BPB publication, New Delhi, 2002.(R2)

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment

1. Student Feedback on Faculty

Mapping Between COs and Course Delivery (CD) methods

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9CD3 Seminars CO3 CD1, CD2 and CD3CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 3 2CO2 3 3 3 1 3 1 1 1 2 2 2 2CO3 3 3 3 3 3 1 2 2 1 1 2 2 3 2CO4 3 3 3 1 3 1 1 1 1 2 2 3 2CO5 3 3 3 3 3 1 1 1 1 1 1 2 2 2 3

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Course Code: CA103Course Title: LOGICAL ORGANIZATIONS OF COMPUTERSPre-requisite(s): Basic ElectronicsCo- requisite(s):Credits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Understand the Truth Table.B. Identify the number of variables and their simplification importance.C. Understand different circuits for the implementation of Boolean equations.D. Identify Register Transfer, Micro-operations and Central Processing UnitE. Describe performance evaluation of computers, computer architecture and

organization, computer arithmetic, Memory and CPU design.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Minimize the circuit diagrams by use of K-Map concepts and BooleanAlgebra.

CO2 Analyse the outcome of the circuit designed.CO3 Create complex circuit with use of modular block interconnection.

CO4 Analyse I/O system and interconnection structures of computer.CO5 Develop independent learning skills and be able to learn more about

different computer architectures and hardware.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Digital Logic Circuits: Digital Computers, Logic Gates, Boolean algebra, Complement of a Function, Map Simplification, Product-of-sum simplification, Don’t care conditions, Combinational Circuits, Half Adder, Full Adder, Flip-Flops, Sequential Circuits.

10

Module – II

Digital Components: Integrated Circuits, Decoders, NAND Gate Decoder, Encoders, Multiplexers, Registers, Register with parallel load, Shift Registers, Bidirectional Shift register with parallel load, Binary Counters, Binary counter with parallel load, Memory Unit, RAM, ROM, Types of ROMs.Data Representation: Data Types, Number System, Complements, Subtraction of Unsigned Numbers, Fixed-Point Representation, Floating-Point Representation, Other Binary Codes, Other Decimal Codes, Error Detection Codes

10

Module – III

Register Transfer and Micro-operations: Register Transfer language, RegisterTransfer Bus and Memory Transfers, Three-State Bus Buffers, MemoryTransfer, Arithmetic Micro- operations, BinaryAdder, Binary Adder-Subtractor, Binaryincrementer, Arithmetic Circuit Logic, Micro-operations, Shift Micro-operations, HardwareImplementation, Arithmetic Logic Shift Unit.

7

Module – IV

Central Processing Unit: Introduction, General Register Organization, Stack Organization, Register Stack, MemoryStack, Reverse Polish Notation, Evaluation of Arithmetic Expressions, InstructionFormats, AddressingModes, Data Transfer and Manipulation, ProgramControl, ProgramInterrupt, Types of Interrupts, Reduced Instruction Set Computer (RISC).

8

Module – V 5

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Memory Organization: Memory Hierarchy, Main Memory, RAM and ROM Chips, Memory Address Map, Memory Connection to CPU, Auxiliary Memory, Magnetic Disks and Tape, Associative Memory, Hardware Organization, March Logic, Read/Write Operation, Cache Memory, Associative Mapping, Direct Mapping, Set-Associative Mapping, Virtual Memory, Address Space and Memory Space, Address Mapping Using Pages, Associative Memory Page Table, Page Replacement, Memory Management Hardware.

Text Books:1. Mano M., “Computer System Architecture”, Prentice Hall of India, New Delhi, 1995.(T1)

Reference Books: 1. Morris Mano M & Ciletti M.D., “Digital Design”, 4th Edition, PHI, 2008.(R1)2. Hayes, J.P., “Computer Architecture and Organization”, 3rdEdition, McGraw-Hill, London, 2000,

(R2)3. Ram. B., “Computer Fundamentals: Architecture and Organization”, 3rdEdition, New Age

International Publication, New Delhi, 2000.(R3)

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9CD3 Seminars CO3 CD1, CD2 and CD3CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 3 2CO2 3 3 3 1 3 1 1 1 2 2 2 2CO3 3 3 3 3 3 1 2 2 1 1 2 2 3 2CO4 3 3 3 1 3 1 1 1 1 2 2 3 2CO5 3 3 3 3 3 1 1 1 1 1 1 2 2 2 3

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Course code: MT124

Course title: BUSINESS COMMUNICATION BASICSPre-requisite(s): Co- requisite(s): Credits: 2 L: 2 T: 0 P: 0Class schedule per week: 02Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives This course enables the students to:

1. Analyze and demonstrate writing and speaking processes through invention, organization, drafting, revision, editing, and presentation.

2. Understand the importance of specifying audience and purpose and to select appropriate communication choices.

3. Interpret and appropriately apply modes of expression, i.e., descriptive, expositive, Narrative, scientific, and self-expressive, in written, visual, and oral communication

4. Participate effectively in groups with emphasis on listening, critical and reflective thinking, and responding.

5. Develop the ability to research and write a documented paper and/or to give an oral presentation.

Course Outcomes After the completion of this course, students will be able to:

CO1 Apply business communication strategies and principles to prepare effective communication for domestic and international business situations.

CO2 Utilize analytical and problem-solving skills appropriate to business communication.

CO3U Participate in team activities that lead to the development of collaborative work skills.

CO4 Select appropriate organizational formats and channels used in developing and presenting business messages

CO5 Communicate via electronic mail, Internet, and other technologies and deliver an effective oral business presentation.

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SYLLABUS

MODULE (NO. OF LECTURE HOURS)

Module- IIntroduction to Business Communication:

Importance and Objectives of Business communication, Process of communication, Barriers to effective communication, Techniques of effective communication.

(6L)

Module-IIManaging Business Communication:Formal and Informal communication, Non- verbal communication (Body language, Gestures, Postures, Facial expressions). The cross-cultural dimensions of business communication.

(6L)

Module-IIIOther aspects of communication:Vocabulary:Single word substitution, Idioms and phrases, Precis writing, Comprehension.Group Discussions, Extempore.

(6L)

Module-IVIntroduction to managerial writing:Business letters: Inquiries, Circulars, Quotations, Orders, Acknowledgement, Claims & adjustments, Collection letters, Sales letters, Drafting of different resumes, Covering letters Applying for a job, Social correspondence, Invitation to speak.

(6L)

Module-VReport writing and Technical Proposals:Business reports, Types, Characteristics, Importance, Elements of structure, Process of writing, Order of writing, the final draft, checklists for reports.

(6L)

Books recommended:

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TEXT BOOK1. “Communication Skills”, Sanjay Kumar &PushpLata, Oxford University Press. (T1)2. “Business Correspondence and Report Writing”, R.C.Sharma, Krishna Mohan, McGraw Hill. (T2)3. “Communication for Business”, Shirley Taylor, V. Chandra, Pearson. (T3)

REFERENCE BOOK1. “Business Communication”, HorySankar Mukherjee, Oxford University Press. (R1)2. “Basic Business Communication”, Lesikar I Flatley, McGraw Hill. (R2)3. “Business Communication Today”, Bovee, Thill and Chaterjee, Pearson. (R3)

COURSE OUTCOME (CO) ATTAINMENT ASSESSMENT TOOLS & EVALUATION PROCEDURE

Direct Assessment

Assessment Tool % Contribution during CO AssessmentContinuous Internal Assessment 50Semester End Examination 50

Continuous Internal Assessment % Distribution

3 Quizzes 30 % (3 × 10%)

Assignment (s) 10

Seminar before a committee 10

Assessment Components CO1 CO2 CO3 CO4 CO5Continuous Internal Assessment Semester End Examination

Indirect Assessment –1. Student Feedback on Faculty2. Student Feedback on Course Outcome

MAPPING BETWEEN COURSE OUTCOMES AND PROGRAM OUTCOMES

CO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8CO1 3 1 2 1 2 2 1 2CO2 3 1 2 1 1 2 1 1CO3 3 3 1 2 1 1 1 1CO4 2 2 1 2 1 1 2 1

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CO5 2 1 1 3 2 2 1 1If satisfying and < 34% = 1, 34-66% = 2, > 66% = 3

MAPPING BETWEEN COURSE OUTCOMES AND COURSE DELIVERY METHOD

CD Course Delivery methodsCourse

Outcome Course Delivery Method

CD1Lecture by use of boards/LCD projectors/OHP projectors CO1 CD1,CD2,CD3

CD2 Tutorials/Assignments CO2 CD1,CD2,CD3CD3 Seminars CO3 CD1,CD2,CD3CD4 Mini projects/Projects CO4 CD1,CD2,CD3,CO4 CD5CD5 Laboratory experiments/teaching aidsCD6 Industrial/guest lecturesCD7 Industrial visits/in-plant training

CD8 Self- learning such as use of NPTEL materials and internets

CD9 Simulation

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Course Code: CE101Course Title: ENVIRONMENTAL SCIENCEPre-requisite(s): Co- requisite(s):Credits: 2 L:2 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To develop basic knowledge of ecological principles and their applicationsin environment.

B. To identify the structure and composition of the spheres of the earth, theonly planet sustaining life.

C. To analyse, how the environment is getting contaminated and probablecontrol mechanisms for them.

D. To generate awareness and become a sensitive citizen towards the changingenvironment.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Explain the structure and function of ecosystems and their importance in theholistic environment.

CO2 Identify the sources, causes, impacts and control of air pollution.CO3 Distinguish the various types of water pollution happening in the

environment and understand about their effects and potential control mechanisms.

CO4 Judge the importance of soil, causes of contamination and need of solidwaste management.

CO5 Predict the sources of radiation hazards and pros and cons of noise pollution.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Ecosystem and Environment: Concepts of Ecology and Environmental science, ecosystem: structure, function and services, Biogeochemical cycles, energy and nutrient flow, ecosystem management, fate of environmental pollutants, environmental status and reports on climate change.

10

Module – II

Air Pollution: Structure and composition of unpolluted atmosphere, classification of air pollution sources, types of air pollutants, effects of air pollution, monitoring of air pollution, control methods and equipment for air pollution control, vehicular emissions and control, indoor air pollution, air pollution episodes and case studies.

10

Module – III

Water Pollution: Water Resource; Water Pollution: types and Sources of Pollutants; effects of water pollution; Water quality monitoring, various water quality indices, water and waste water treatment: primary, secondary and tertiary treatment, advanced treatments (nitrate and phosphate removal); Sludge treatment and disposal.

7

Module – IV

Soil Pollution and Solid Waste Management: Lithosphere – composition, soil properties, soil pollution, ecological & health effects, Municipal solid waste management – classification of solid wastes, MSW characteristics, collection, storage, transport and disposal methods, sanitary landfills, technologies for processing of MSW: incineration, composing, pyrolysis.

8

Module – V

Noise pollution & Radioactive pollution: Noise pollution: introduction, sources: Point, line and area sources; outdoor and indoor noise propagation, Effects of noise on health, criteria noise standards and limit values, Noise measurement techniques and analysis, prevention of noise pollution; Radioactive pollution: introduction, sources, classification, health and safety aspects, Hazards associated with nuclear reactors and disposal of spent fuel rods-safe guards from exposure to radiations, international regulation, Management of radioactive wastes.

5

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Text Books:

1. A, K. De., “Environmental Chemistry”, New Age Publications India Ltd., 3rd Edition, 2008.(T1)

2. R. Rajagopalan,“Environmental Studies: From Crisis to Future”, 3rd Edition, Oxford University Press, 2016.(T2)

3. Eugene P. Odum., “Fundamentals of Ecology”, 3rd Edition, WB Sunders Company, Philadelphia, 1971.(T3)

4. C. N. Sawyer, P. L. McCarty and G. F. Parkin, “Chemistry for Environmental Engineering and Science”, John Henry Press, 2002.(T4)

5. S.C. Santra,“Environmental Science”, New Central Book Agency, 2011. (T5)

Reference Books:

1. D.W. Conell,“Basic Concepts of Environmental Chemistry”, CRC Press.(R1)2. Peavy, H.S, Rowe, D.R, Tchobanoglous, G.,“Environmental Engineering”, Mc-Graw

- Hill International. (R2)3. G.M. Masters & Wendell Ela,“Introduction to Environmental Engineering and

Science”, PHI Publishers, 1991.(R3)

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Explain the structure and function of ecosystems and their importance in the holistic environment. 2. Identify the sources, causes, impacts and control of air pollution 3. Distinguish the various types of water pollution happening in the environment and understand about their effects and potential control mechanisms.

POs met through Gaps in the Syllabus 3, 4, 12, 13, 14

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2CO2 3 3 3 1 3 1 1 1 2CO3 3 3 3 3 3 1 2 2 1 1 2CO4 3 3 3 1 3 1 1 1 1 2CO5 3 3 3 3 3 1 1 1 1 1 1 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Course Delivery methodsCourse

Outcome

Course DeliveryMethod

CD1 Lecture by use of boards/LCD projectors/OHP projectors

CO1 CD1, CD2

CD2 Tutorials/Assignments CO2 CD1, CD2

CD3 Seminars CO3 CD1, CD2

CD4 Mini projects/Projects CO4 CD1, CD2

CD5 Laboratory experiments/teaching aids CO5 CD1, CD2

CD6 Industrial/guest lectures

CD7 Industrial visits/in-plant trainingCD8 Self- learning such as use of NPTEL materials and

internetsCD9 Simulation

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Course Title: MATHEMATICS-I (ELEMENTARY MATHEMATICS)Pre-requisite(s): Co- requisite(s):Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Get an understanding about set and relations.B. Demonstrate a depth of understanding of functions and binary operations.C. Gain an understanding of Abstract Algebra and Matrices.D. Get a brief idea about the principles of Differential Calculus and Differential

Equations.E. Be able to solve differential equations and differential calculus problems.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Decide the behaviour of set and relations in the field of computer science.CO2 Apply the concepts of functions and binary operations in various computer

programs.CO3 By using the properties of Algebra and Matrices to decide the behavior

different problemsCO4 Apply the principles of Differential Calculus and Differential Equations to

solve a variety of scientific problems in engineering and sciences.CO5 Enhance and develop the ability of using the language of mathematics in

engineering.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Sets and Relations: Sets and their representations, The empty set, Finite and Infinite set, Equal and equivalent set, Subset; powerset; Universalset; Venndiagrams; Operations on sets; Complement of a set; Cartesian product, Relation, Inverse Relation, Composition of relation, Equivalence of relations and Classes.

10

Module – II

Functions and Binary Operations: Functions as a set, Representation of function, Types of Functions, Functions applicable in Computer Science: Integer function, Factorial function, Absolute, Characteristic, Floor, Ceiling, Remainder, Boolean, Exponential, Logarithmic, Hashing functions and Binary operation on a set.

10

Module – III

Abstract Algebra: Group, Subgroup, Order of group, cyclic group and Simple theorems, Ring, Integral domain, Field and Simple theorem related to Integral domain and field.

7

Module – IV

Matrices Algebra: Definition of matrix, Operations on matrices, Square matrix and its inverse, Inverse of a matrix by Row operation, Rank of matrix by Echelon form, Solution of a System of Linear Simultaneous equation by matrix method, Eigen value and Eigen vector, Caley Hamilton theorem (without proof), to find the inverse of a non-singular matrix using Caley-Hamilton theorem.

8

Module – V

Differential Calculus: Successive differentiation, Leibnitz Theorem, Partial derivative, Partial derivative of Higher orders, Homogeneous function, Euler’s Theorem on Homogeneous functions.Differential equation: Definition of Differential equation, Order and degree of a differential equation, Linear differential equation and Equation of Higher Order Linear differential

5

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equation with constant coefficients, Partial differential equations, Order and degree of partial differential equation, Lagrange’s Linear Equations, Linear Homogeneous partial differential equation.

Text Books:

1. Vasishtha A.R., “Modern Algebra”, Krishna Prakashan Media (P) Ltd, Meerut, 2006.(T1)

2. Vasishtha A.R, “Matrices”, Krishna Prakashan Media (P) Ltd, Meerut, 2006. (T2)3. DasH.K., “Advanced Engineering Mathematics”, S. Chand, 2009.(T3)

Reference Books:

1. KolmanB., BusbyR. C., and RossS. C., “Discrete Mathematical Structures”, 6th Edition, Prentice Hall of India, 2008.(R1)

2. ShethH., “Abstract Algebra”, PHI, 2009.(R2)3. GrewalB. S., “Higher Engineering Mathematics”, Khanna Publishers, 2000.(R3)

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 2 2CO2 3 3 3 1 3 1 1 1 2 2 3 2CO3 3 3 3 3 3 1 2 2 1 1 2 2 3 2CO4 3 3 3 1 3 1 1 1 1 2 3 2 3CO5 3 3 3 3 3 1 1 1 1 1 1 2 3 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9CD3 Seminars CO3 CD1, CD2 and CD3CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA102Course Title: PROBLEM SOLVING AND PROGRAMMING IN C LABPre-requisite(s): Co- requisite(s):Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To learn computer language.B. To Learn coding for problems.C. To learn the problem-solving process through computer.D. To know the limitations of system during program execution.E. To know the practical application of various programming techniques.

Course Outcomes

After the completion of this course, students will be able to:

CO1 To formulate simple algorithms for arithmetic and logical problems.CO2 To translate the algorithms to programs.CO3 To test and execute the programs and correct syntax and logical errors.CO4 To apply programming to solve simple numerical method problems,

differentiation of function and simple integration.CO5 To decompose a problem into functions and synthesize a complete program using

divide and conquer approach.

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SYLLABUS

List of Programs as Assignments:

1. Write an interactive program that will read in a +ve integer value and determine the following

i) If the integer is a prime number ii) If the integer is a Fibonacci number

2. WAP in C to compute sinx = x – x3/3! + x5/3! – x7/7! ….. Continue adding successive terms in the series until the value of the next term becomes smaller (in magnitude) than 10-5. Test the program for x = 1, x = 2, and x = 3. In each case display the number of terms used to obtain the final answer.

3. WAP to generate every 3rd integer beginning with I = 2 and continue for all integers that are less than 150. Calculate the sum of those integers that are evenly divisible by 5.

4. WAP to find whether a given year is a leap year or not. Modify it to generate a list of leap years between two year limits given by user.

5. WAP to display the following pattern:11

11 10 11

11 10 9 10 11

11 10 9 8 9 10 11

6. Using Ternary / Conditional operator find the greatest among 3 numbers.

7. WAP to convert a decimal number into an equivalent number of the input base. Test your program for base 2,8,10 & 16.

8. WAP to read a number n, and print it out digit-by-digit, as a series of words. For e.g. 123 would be printed as “one two three”.

9. WAP to check whether any input +ve integer is palindrome or not.10. WAP to simulate a simple calculator (+ - / * %) that takes two operands and an

operator as input and displays the result.11. WAP to find the GCD of two input +ve integer numbers.12. WAP to swap the values of two variables without using a third variable.13. Read a line of mixed text, and then write it out with all lower case and uppercase

letters reversed, all digits replaced by 0s and all other characters (non-letters and non- digits) replaced by ‘*’.

14. WAP to find the product of two matrices A and B. Display the source matrices and product matrix C in matrix format.

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15. WAP to find whether a given matrix is a triangular matrix or not.16. WAP to find the transpose of a matrix. Display the source and the transposed matrix

in matrix format.17. Implement Prob. No. – 14 to 16 using functions for reading, manipulating and

displaying the corresponding matrices in matrix form.18. WAP to sort a list of strings alphabetically using a 2-dim. Character array.19. WAP to display the row sum and the column – sum of an input 2- dim. Matrix.

Display the source matrix with row and column sum.20. Write a recursive function to calculate S = 2 + 4 + 6 + 8 + …… +2N. Implement the

function in a complete C program.21. Write a function that accepts two arguments an array and its size n. It performs

Bubble up sort on the array elements. Using indirection operator ‘*’ implement this in a complete C program. Display the source and the sorted array.

22. Using pointer, write a function that receives a character string and a character as argument. Delete all occurrences of this character in the string. The function should return corrected string with no holes.

23. Write a function for reading character string using pointer. Calculate the length of the string (without using strlen ()). Finally print the string in reverse order, using pointer.

24. Implement prob. No. 14 using pointers representation of 2 – dim. array.25. Implement prob. No. 15 using pointer representation of 2 dim. array.26. Implement prob. No. 16 using pointer representation of 2 dim. array.27. WAP to sort a list of strings into alphabetical order using array of pointers.28. Create records of 60 students, where each record has fields-name, roll, gpa and fees.

Write a function update () to reduce the fees of those students who have obtained gpa greater than 8.5 by 25% of the original fees. Write a complete program to exercise this function in the main program and display all the records before and after updation.

29. Define a structure that describes a hotel. It should have members that include the name, address, grade, average room charge and number of rooms. Write a function to perform the following operations:

a) To print out hotels of a given grade in order of charges.b) To print out hotels with room charges less than a given value.

30. WAP to concatenate the contents of two files into a third file.31. WAP to copy the content of one file into another file. Names of both the files are to

be input as command line arguments

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Text Books:

1. Jery R Hanly, “Problem solving and Program design in C”, Paerson Education, 7th Edition. (T1)

2. Byron Gottfried, “Schaum's Outline of Programming with C”, McGraw-Hill. (T2)3. E. Balaguruswamy, Programming in ANSI C, Tata McGraw-Hill. (T3)4. R.G.Dromey, How to Solve it by Computer, Pearson Education. (T4)

Reference Books:

1. Brian W. Kernighan and Dennis M. Ritchie, “The C Programming Language”, Prentice Hall India Learning Private Limited.(R1)

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: 180Course Title: OFFICE AUTOMATION TOOLSPre-requisite(s): Co- requisite(s):Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To learn automation tools2. To understand the basic of basic technology3. To learn the problem-solving process through computer.4. To know the limitations of automation5. To know the practical application of various automation tools

Course Outcomes

After the completion of this course, students will be able to:

CO1 To solve real time problems using automation toolsCO2 To translate the real time problem into automation problemCO3 To analyse the basic application of automation tools.CO4 To apply different tools for different automation problemsCO5 To decompose a real-time problem into a small automation problems.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

COMPUTER SCIENCE & OPERATING SYSTEMS (WINDOWS/LINUX)

1. Types of Computer: Analog, Digital, and Hybrid type, Hardware, Software, System software, Application software, Stored Program Concept and Von Newman Architecture, Firm ware, Human ware, Stored Program Concept, Evolution of computers, Generation of computer.

2. Data Processing: Data collection, Classifications, Sorting and Merging, Processing, Summarizing Storing.

3. Data Organisation: Organization Data, Character, Field, Record, File, Database, Sequential Access, Random Access, Indexed Sequential Access.

4. Data Communication: Local Area Network, Wide Area Network, Satellite Communication, Internet.

5. Operating System: Introduction, Different Operating Systems, Loading and Quitting the Operating Systems Important DOS/Windows/Linux Commands.

10

Module – II

WINDOWS/Linux1. Windows Introduction,2. Concepts different Operating System GUI/CUI.3. Desktop Icons. (Windows / Desktop Linux)4. My Computer, Recycle Bin, Internet Explorer, Network

Neighbourhood, My Documents5. Working with windows: How to create a Folder, Copying and

cutting files, Renaming6. Programs, Favourites, Documents, Settings, Find, Run, Shut down7. APPLICATION ICONS8. Introduction to Output Devices

10

Module – III

PERSONAL COMPUTER SOFTWARE TOOLS (MS WORD,EXCEL AND POWERPOINT)/

1. Open Office Word Processing using MS WORD: An introduction to MS-Word / ON INTRODUCTION TO

7

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WORD/Writer.2. The Word work space, Starting and quitting word,

Creating and Manipulating Various documents, Editing of proofing files, Merging documents and macros.

3. How to use Mouse and Menu, Working with dialog box4. Primary Command in File Menu: The Open Commands,

The File name commands, The New commands, The Save, Save As, and Save all commands, The Close command, The Page setup, The Print commands, The Exit commands

5. Edit Menu commands: The Cut, Copy, and Paste commands, The Undo and Repeat commands

6. Format commands: Font commands, Paragraph commands7. Other Menu: The view menu, The Insert menu, The tool

menu, The table menu, The Window menu

Module – IV

EXCEL1. BUILDING A SIMPLE WORKSHEET2. Entering Text, Entering Values, Entering

Dates and Times, Moving Around, Selecting Ranges, Using Menu, Using

3. Tool Bar, Using Shortcut Menus, Changing Entries, Copying Entries, Moving Entries, Inserting and Deleting cells

4. FORMATTING BASICS5. Changing Character Style, Changing Alignment, Changing Column

Width6. WORKING WITH MULTIPLE WORKSHEET7. Copying entries between work books, Moving sheets

between work books, Deleting sheets, Quitting Excel8. OPENING EXISTING WORKBOOKS9. Simple calculations, Doing Arithmetic, Totalling column

of values, Naming cells and Ranges10. FORMATTING TEXT11. Displaying dollars and cents, Formatting decimal places,

dates Format, Copying style and formats12. FORMULAS THAT MAKE DECISIONS13. Using the IF function, Using the nested IF function, Copying

formulas14. Checking Spelling, Printing Worksheets, Preview Worksheets,

Setting up the pages,15. Sorting data, Keeping Leading in View, Finding records,

Adding and deleting Records, Filtering Records16. Plotting charts, Sizing and moving charts, Updating

charts, changing the chart type, Using chart auto format17. Creating Macros, Recording Macros, Running Macros

8

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Module – V

POWER POINT1. Main Features of Power Point2. MAKING THE PRESENTATION3. Creating Template with the Auto Content Wizard.

Creating a Presentation with a Template. Creating a presentation from Scratch

4. DIFFERENT VIEWS5. Normal Slide, Outline, Slide Sorter, Slide Show, Notes, Slide

Master6. ANIMATION, ART AND SOUND7. Controlling Transitions between slides.

Animating Different Parts of a slide. Inserting a Motion Clip. Including

8. Sounds in slides.9. INCLUDING GRAPHS, CHARTS, TABLES AND COLUMNS10. Organization Chart Slide, Creating a table Slide.

Creating two column Slide, Module 1: Showing A Presentation,

11. Rehearsing/ Timing a Presentation, Designation some slides as “Hidden”, Viewing Slides Anywhere in a Slide Show.

12. Techniques for Making a Show Livelier13. OFFICE CONNECTIONS14. Presenting with the help of other Office Programs

Importing the text from a World Document.15. Printing a Presentation

5

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Introduction to graphics and animation tool.2. Multimedia Introduction.

POs met through Gaps in the Syllabus 1,2,3,4

Topics beyond syllabus/Advanced topics/Design1. Animation.2. App development.

POs met through Topics beyond syllabus/Advanced topics/Design 3, 5, 7, 8,

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

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CD9 SimulationCourse Code: CA155Course Title: DATA STRUCTURESPre-requisite(s): C/C++; Knowledge of programming languagesCo- requisite(s): DS LabCredits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester/ Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To know details about the data structure.B. Applications, advantages and limitations of various data structures.C. Real life use of various data structures.D. Implementations of various data structures.E. Analyse and compare the different algorithms

Course Outcomes After the completion of this course, students will be able to:

CO1 Understand the properties of various data structuresCO2 Identify the strength and weaknesses of different data structuresCO3 Design and employ appropriate data structures for solving computing

ProblemsCO4 Analyze and compare the efficiency of algorithmsCO5 Solve computing problems independently

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Algorithms and Analysis of Algorithms: Definition, Structure and Properties of Algorithms, Development of an Algorithm, Data Structures and Algorithms, Data Structure – Definition and Classification, Efficiency of Algorithms, Asymptotic Notations, Polynomial Vs Exponential Algorithms, Average, Best and Worst case Complexities, Open source software development process.

10

Module – II

Arrays, Stacks and Queues: Array Operations, Number of Elements in an Array, Representation of Arrays in Memory, Applications of Array, Stack-Introduction, Stack Operations, Applications of Stack, Queues-Introduction, Operations on Queues, Circular Queues, Other Types of Queues, Applications of Queues.

10

Module – III

Linked List, Linked Stacks and Linked Queues: Singly Linked Lists, Circularly Linked Lists, Doubly Linked Lists, Applications of Linked Lists, Introduction to Linked Stack and Linked Queues, Operations on Linked Stacks and Linked Queues, Implementations of Linked Representations, Applications of Linked Stacks and Linked Queues.

7

Module – IV

Trees, Binary Trees, BST, AVL Trees and B Trees: Trees: Definition and Basic Terminologies, Representation of Trees, Binary Trees: Basic Terminologies and Types, Representation of Binary Trees, Binary Tree Traversals, Threaded Binary Trees, Applications. Introduction, BST: Definition and Operations, AVL Trees: AVL Definition and Operations, B Trees: Introduction, m-way search trees: Definition and Operations.

8

Module – V

Sorting and searching: Introduction, Radix sort, Shell Sort, Quick Sort, Heap Sort. Searching: Introduction, Binary Search, Transpose Sequential Search, Interpolation Search.

5

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Text Books:

1. BalujaG S, “Data Structure through C”, Ganpat Rai Publication, New Delhi, 2015.2. PaiG A V, “Data Structures and Algorithms: Concepts, Techniques and Applications”, 2nd Edn,

Tata McGraw-Hill, 2008.3. Horowitz E., Sahni S., Susan A., “Fundamentals of Data Structures in C”, 2nd Edition, University

Press, 2010.

Reference Books:

1. TremblayJ. P., SorensonP. G, “An Introduction to Data Structures with Applications”, 2nd Edn, McGraw-Hill, Inc. New York, NY, USA.

2. Lipschutz Seymour, “Data Structures”, 6th Edn, 9th Reprint 2008, Tata McGraw-Hill.3. Drozdek Adam, “Data Structures and Algorithms in C++”, Thomson Learning, New Delhi –

2007.4. FellerJ., FitzgeraldB., “Understanding Open Source Software Development”, Pearson Education

Ltd. New Delhi

Gaps in the Syllabus (to meet Industry/Profession requirements)

Introduced programming skills for real time applications.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design

Topics related to real world application/ problem should be introduced.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA157Course Title: DISCRETE STRUCTURESPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 04Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Use appropriate set, function, or relation models to analyse practical examples,interpret the associated operations and terminology in context.

B. Determine number of logical possibilities and probability of events.C. Learn logic and proof techniques to expand mathematical maturity.D. Formulate problems precisely and explain their reasoning clearly.E. Solve the problems, apply formal proof techniques

Course Outcomes After the completion of this course, students will be able to:

CO1 To formulate problems preciselyCO2 Solve the problems, apply formal proof techniques, and explain their

reasoning clearly.CO3 Illustrate by example, basic terminology and model problems in computer

engineering using graphs and treesCO4 Analyse problems precisely and explain their reasoning clearly.CO5 Solve the problems, apply formal proof techniques

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Sets and Propositions: Sets, Operations of sets, Finite and Infinite sets, Principle of inclusion and exclusion, Propositions, Conditional Propositions, Logical Connectivity, Propositional calculus, Universal and Existential Quantifiers, Normal forms, Mathematical Induction.

10

Module – II

Relations and Functions: Relations, Properties of Binary Relations, Closure of relations, Warshall’s algorithm, Equivalence relations. Functions, Types of functions, Composition of functions, Invertible functions.Permutations and Combinations, Pigeonhole Principle, Recurrence Relation.

10

Module – III

Partially Ordered Sets: Introduction, Elements of Partially Ordered Sets, Lattices.

7

Module – IV

Graph Theory and Trees: Basic terminology, representation of a graph in computer memory, Relations and Digraphs, Paths in Relations and Digraphs, Shortest path in weighted graphs (Dijkstra’s algorithm). Basic terminology and characterization of trees, Tree traversal, Spanning trees, Minimal Spanning trees(Introduction).

8

Module – V

Groups, Rings and Fields: Groups, Semi Groups, Monoids, Subgroups, Isomorphism and Homomorphism and Normal Subgroups, Rings, Integral Domain, Rings Homomorphism, Polynomial Rings, Fields.

5

Text Books:

1. KolmanB., BusbyR. and RossS., “Discrete Mathematical Structures”, 6th Edition, PearsonEducation, 2002, ISBN 81-7808-556-9.

2. DeoN., “Graph Theory with application to Engineering and Computer Science”, Prentice Hall of India, 1990, 0 – 87692 – 145 – 4.

3. JohnsonbaughR., “Discrete Mathematics”, 5th Edition, Pearson Education, 2001 ISBN 81 – 7808Page 50 of 261

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– 279 – 9.

Reference Books:

1. BiggsN., “Discrete Mathematics”, 3rd Edition, Oxford University Press, ISBN 0 –19 – 850717 – 8.

2. RosenKenneth H., “Discrete Mathematics and its Applications”, 6th edition, McGraw-Hill, 2007, ISBN 978-0-07-288008-3.

3. LipschutzSemyour & Lipson Marc, “Discrete Mathematics”, McGraw-Hill, 3rd Special Indian Edition, ISBN-13: 978-0-07-060174-1.

4. LiuC. L. and MohapatraD. P., “Elements of Discrete Mathematics”, SiE Edition, Tata McGraw- Hill, 2008, ISBN 10:0-07-066913-9.

5. LipschutzS. and LipsonM., Schaum's Outline of Discrete Mathematics, Revised Third Edition, Tata McGraw Hill, 2010.

6. MottJ. L., KandelA. and BakerT. P., Discrete Mathematics for Computer Scientists and Mathematicians, 2nd Edition, Prentice Hall of India, 2001.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA160Course Title: OPERATING SYSTEM CONCEPTSPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Present the main components of OS and their workingB. Introduce the concepts of process and thread and their scheduling policiesC. Handling synchronization of concurrent processes and deadlocksD. Analyze the different techniques for managing memory, I/O, disk and filesE. Design the components of operating system

Course Outcomes

After the completion of this course, students will be able to:

CO 1. Understand the general architecture of computer system.

CO 2. Understand, contrast and compare differing structures for operatingSystems

CO 3. Gain proficiency needed to analyse theory and implementation of:processes, scheduling, I/O and files systems.

CO 4. Be familiar with various types of operating systems including Unix /Linux

CO 5. Get in-depth knowledge of memory management for operating systems

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction & System Structures: What Operating Systems do, Computer System Organisation, Computer System Architecture: Single Processor Systems, Multiprocessor Systems, Clustered Systems, Operating System Structure, Operating System Operations, Distributed Systems, Special Purpose Systems, Computing Environments, Open-Source Operating Systems, Operating System Services, User Operating System Interface, System Calls, Types of System Calls, System Programs, Operating System Design and Implementation: Design Goals, Mechanisms and Policies, Implementation, Operating System Structure: Simple Structure, Layered Approach, System Boot.

10

Module – II

Process Management: Process Concept, Operations on Processes, Process Scheduling- Basic Concepts, Scheduling Queues, Schedulers, Pre-emptive Scheduling, Dispatcher, Scheduling Criteria, Scheduling Algorithms.

10

Module – III

Deadlock Handling: System Model, Deadlock Characterization, Methods for Handling Deadlocks, Deadlock Prevention, Deadlock Avoidance, Deadlock Detection, Recovery from Deadlock.

7

Module – IV

Memory Management: Background, Swapping, Contiguous Memory Allocation, Paging, Structure of the Page Table, Segmentation.File Management: File Concept, Access Methods, Directory & Disk Structure, File System Mounting, File Sharing, Protection, File System Structure, File System Implementation, Directory Implementation, Allocation Methods, Free Space Management.

8

Module – V

Secondary Memory Management: Overview of Mass Storage Structures, Disk Structure, Disk Scheduling, Disk Management.Case Study- The Linux System: Linux History, Design Principles, Kernel Modules, Process Management, Scheduling (except Symmetric Multiprocessing), Memory Management (except Virtual Memory), File

5

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Systems, Input & Output.

Text Books:1. SilberschatzA., GalvinP.B. & GagneG., “Operating System Concepts”, 8th Edition, Wiley India,

2012.

Reference Books:

1. DeitelH.M., “Operating Systems”, 3rd Edition, Prentice-Hall of India, 2006.2. TanenbaumA.S., “Modern Operating Systems”, 2nd Edition, Prentice-Hall of India, 2010.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Page Replacement Algorithms2. Case Study of any OS.3. Applications of advance memory management.

POs met through Gaps in the Syllabus 3, 4, 12, 13

Topics beyond syllabus/Advanced topics/Design 1. Distributed Operating Systems2. Design of access matrix.3. Design of kernel model of Linux OS.4. Application design of Virtual Memory.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA158Course Title: NUMERICAL AND STATISTICAL METHODSPre-requisite(s): Programming knowledge and High-level MathematicsCo- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Able to map a problem in the computer domain so that with the help ofcomputer it can be Solved.

B. To develop skill to represent and solve a problem in ComputerC. Able to understand the basic of computing methodologies that done with

computers.D. To develop understanding of basic of computation methodologiesE. Understating the functionality of Abstract machines with their limitations

Course Outcomes

After the completion of this course, students will be able to:

CO 1. Identify problems in the computer domain.CO 2. Explain the basic of computing methodologies that done with computersCO 3. Evaluate basic computation methodologiesCO 4. Analyse functionality of Abstract machines with their limitationsCO 5. Apply computing methodologies that are done with computers.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Errors in Numerical Methods: Concept of Exact and Approximate Numbers, Significant Figures, Rounding off rules, Absolute, Relative and Percentage Errors, General Error Formula.Solution of Algebraic and Transcendental Equations: Basic Concepts, Geometrical Interpretation (if any), Condition for Convergence, Rate of Convergence, Bisection Method, Method of False Position or Regula-Falsi Method, Method of Iteration, Newton Raphson Method.

10

Module – II

Interpolation : Finite Differences, Forward Difference Operator, Backward Difference Operator, Central Difference Operator, Shift Operator – Properties of the Operators, Relation among the Operators, Differences of a Polynomial, Newton’s Forward and Backward Difference Interpolation Formulae, Gauss’ Central Difference Interpolation Formulae, Lagrange’s Interpolation, Divided Differences and their properties, Newton’s general interpolation formula with divided difference, Inverse interpolation using Lagrange’s interpolation formula.

10

Module – III

System of Linear Algebraic Equations: Matrix Inversion Method, Gauss Elimination Method, Gauss Jordan Method, LU Decomposition Method, Gauss-Jacobi Method, Gauss –Seidel Method.Numerical Differentiation and Integration: Numerical Differentiation, Numerical Integration, Derivation of General Quadrature Formula., Trapizoidal Rule, Simpson’s 1/3- Rule, Simpson’s 3/8- Rule.Numerical Solution of Ordinary Differential Equations: Solution by Taylor’s Series, Euler’s Method, Modified Euler’s Method, Runge-Kutta Methods (2nd order)

7

Module – IV

Concepts of Probability: Experiment and Sample Space, Events and Operations with Events, Probability of an Event, Basic Probability Rules, Applications of Probability Rules, Conditional Probability.Random Variables: How Random Variable Arise, Probability Distribution of a Random Variable, Mean or Expected Value of a Random Variable, Probability Histogram Value of a Random Variable, Variance and Standard Deviation of a

8

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Random Variable.Binomial Experiments: Structure of a Binomial Experiment, Binomial Probability Distribution, Use of Binomial Probability Table.Normal Curve and Normal Distribution: Motivation behind a Normal Curve, Properties of a Normal Curve, Normal Probability Distribution, Areas Under a Normal Curve.

Module – V

Estimation of Population Parameters: Parameter and Statistic, Point and Interval Estimation, Interval Estimation of Three Common Parameters.Bivariate Quantitative Data- Correlation and Regression: Concepts of a Bivariate Data Set, Correlation Coefficient, Inferences on a Population Correlation Coefficient, The Regression line, Inferences on the Population Regression Line.

5

Text Books:1. SastryS.S., “Introductory Methods of Numerical Analysis”, PHI, Private Ltd., New Delhi.2. PalN. & SarkarS., “Statistics: Concepts and Applications”, PHI, New Delhi, 2005.

Reference Books:

1. HoggR.V. et.al, “Probability and Statistical Inpane”, 7th Edn, Pearson Education, New Delhi, 2006.

2. BurdenR.L. & FairesJ.D., “Numerical Analysis”, Thomson Learning-Brooks/Cole, IndianReprint, 2005.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA156Course Title: DATA STRUCTURES LAB Pre-requisite(s): C/C++; Knowledge of programming languagesCo- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To assess how the choice of data structures and algorithm design methodsimpact the performance of programs.

B. To choose the appropriate data structure and algorithm design method for aspecified application.

C. To solve problems using data structures such as linear lists, stacks, queues, hash tables, binary trees, heaps, binary search trees, and graphs and writing

programs for these solutions.D. Analyse and compare the different algorithms

Course Outcomes

After the completion of this course, students will be able to:

CO1.

Be able to design and analyze the time and space efficiency of the dataStructure

CO2.

Analyze run-time execution of previous learned sorting methods, includingselection, merge sort, heap sort and Quick sort

CO3.

Have practical knowledge on the applications of data structures

CO4.

Be capable to identity the appropriate data structure for given problem

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SYLLABUS

1. Program to Find the Number of Elements in an Array2. Develop and Implement a menu driven program in C for the following Array operations

a. Creating Array of N Integer elements.b. Display of Array elements with suitable headings.c. Inserting an element (ELEM) at a given valid position (POS).d. Deleting an element at a given valid position (POS).e. Exit

3. Programs for Stack, Queues and Circular Queues using Arrays4. Program to convert an Infix Expression into Postfix and Postfix Evaluation5. Program to implement stack using arrays6. Program to implement stack using linked list7. Program to implement multiple stack in a single array8. Program to convert infix notation to postfix notation using stacks9. Program to implement queue using arrays10. Program to implement queue using pointers11. Program to reverse elements in a queue12. Program to implement circular queue using arrays13. Program to create add remove & display element from single linked list14. Program to create add remove & display element from double linked list15. Program to count number of nodes in linear linked list16. Program to create add remove & display element from circular linked list17. Programs to implement stack & queues using linked representation18. Program to concatenate two linear linked lists19. Program to accept a singly linked list of integers & sort the list in ascending order.20. Program to reverse linked list21. Program to represent polynomial using linked list22. Program to add two polynomials using linked list23. Program for the creation of binary tree, provide insertion & deletion in c24. Program for pre-order, post-order & in-order traversals of a binary tree using non recursive.25. Program to count no, of leaves of binary tree26. Program for implementation of B-tree (insertion & deletion)27. Program for implementation of multi-way tree in c28. Program for implementation of AVL tree29. Program to implement bubble sort program using arrays30. Program to implement merge sort using arrays31. Program to implement selection sort program using arrays32. Program to implement insertion sort program using arrays33. Program to implement topological sort using arrays34. Program to implement heap sort using arrays35. Program to implement heap sort using pointers36. Program to implement bubble sort program using pointers37. Program to implement linear search using pointers38. Program to implement binary search using pointers39. Program to implement linear search using arrays40. Program to implement binary search using arrays

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Text Books:1. Baluja G S, “Data Structure through C”, Ganpat Rai Publication, New Delhi, 2015.2. Pai G A V, “Data Structures and Algorithms: Concepts, Techniques and Applications”, 2nd Edn,

Tata McGraw-Hill, 2008.3. Horowitz E., Sahni S., Susan A., “Fundamentals of Data Structures in C”, 2nd Edition, University

Press, 2010.

Reference Books:

1. Tremblay J. P., Sorenson P. G, “An Introduction to Data Structures with Applications”, 2nd Edn, McGraw-Hill, Inc. New York, NY, USA.

2. Lipschutz Seymour, “Data Structures”, 6th Edn, 9th Reprint 2008, Tata McGraw-Hill.3. Drozdek Adam, “Data Structures and Algorithms in C++”, Thomson Learning, New Delhi –

2007.4. Feller J., Fitzgerald B., “Understanding Open Source Software Development”, Pearson

Education Ltd. New Delhi

Gaps in the Syllabus (to meet Industry/Profession requirements)

Introduction of advanced programming concept keeping in view industry requirement.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design

Practical orientation programming should be given emphasis

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA161Course Title: OPERATING SYSTEM LABPre-requisite(s): C/C++; Knowledge of programming languagesCo- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Present the main components of OS and their working B. Introduce the concepts of process and thread and their scheduling policies C. Handling synchronization of concurrent processes and deadlocks

D. Analyze the different techniques for managing memory, I/O, disk and filesE. Design the components of operating system

Course Outcomes

After the completion of this course, students will be able to:

CO1 Understand the general architecture of computer system.

CO2 Understand, contrast and compare differing structures for operatingSystems

CO3 Gain proficiency needed to analyse theory and implementation of:processes, scheduling, I/O and files systems.

CO4 Be familiar with various types of operating systems including Unix /Linux

CO5 Get in-depth knowledge of memory management for operating systems

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SYLLABUS

1. Implement in C the following UNIX commands using System calls : cat and mv2. WAP in C to Determine the size of a file using the lseek command.3. WAP to calculate the number of blocks assigned for the file.4. Write a C program that deletes a directory with all its subfolders. The name of the directory should be read from the command line.

5. Write a program that deletes every 5th byte from a file, but without using a temporary file or allocating a buffer in the memory.6. WAP in C to implement FCFS CPU scheduling Algorithm.7. WAP in C to implement SJF CPU scheduling Algorithm.8. WAP in C to implement Priority CPU scheduling Algorithm.9. WAP in C to implement Round Robin ( RR ) CPU scheduling Algorithm.10. WAP in c to read from the buffer & produce desired output.11. WAP ii C to create Userid & Password.12. WAP in c to implement and find how many Users currently login in NetWork.13. WAP in c to create your won system call just like a copy.14. WAP in c to create your won system call just like a delete.15. WAP in c to find the Disk Space.16. WAP In C to find The number of pages in the process.17. WAP In C to find The number of frames allocated to the process.18. WAP in c to find the no. of blocks occupied by a file.19. WAP in c to create your won system call just like a delete.20. WAP in c to create your won system call just like a ls.21. WAP in c to find a PID no. of any Process.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Shell Programming under Linux OS2. Case Study of any OS.3. Applications are of Linux OS.

POs met through Gaps in the Syllabus 3, 4, 12, 13

Topics beyond syllabus/Advanced topics/Design 1. Distributed Operating Systems2. Design of access matrix.3. Design of kernel model of Linux OS.4. Application design of Virtual Memory.

POs met through Topics beyond syllabus/Advanced topics/Design

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2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

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Course Code: CA159Course Title: NUMERICAL AND STATISTICAL METHODS LABPre-requisite(s): C/C++; Knowledge of programming languagesCo- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Be able to map a problem in the computer domain so that with the help of computer it can be Solved.

B. Learn the problem-solving process through computer.C. To solve problems of larger size which helps the students to understand the

challenges caused by problem size. D. To know the rate of convergence of different methodologies.E. To compare among different methodologies used to solve a particular

problem.F. To know the practical application of various programming techniques.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify and suitably model a problems in the computer domain.CO2 Clearly understand different numerical methods that are used to solve problems in the domain.CO3 Understand the difficulties associated with the problems of large size. CO4 To select the most efficient (fastest) methodology to solve problems of large sizes.CO5 Identify the most suitable one among all known methodologies.CO6 Understand not only the numerical methods but also various programming techniques.

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SYLLABUS

Assignment 1

Write a program in C to solve the equation x4 + x2 -1 = 0, correct to eight decimal places using bisection method.

Assignment 2

Write a program in C to find the root (which lies between 2 and 3) of the following equation correct to six significant figures using bisection method:

x2 – 5log10 (5x2+2x+3) = 0

Assignment 3

Write a program in C to find the root of the equation x3 – 4x2 + 10x – 10 = 0 correct to six significant figures using Regula-Falsi Method.

Assignment 4

Write a program in C to find the root (which lies between 1 and 2) of the following equation correct to six decimal places using Regula-Falsi Method and the method of Bisection. Compare the number of iterations required in both the cases:

2x – 3cosx = 1.85

Assignment 5

Write a program in C to find root of the equation using Newton-Raphson method correct to seven significant figures.

Assignment 6

Write a program in C to solve the equation 3x – cosx - 1= 0, by the method of Iteration, for the root lying between 0 and 1, correct to 6 decimal places.

Assignment 7

Write a program in C to compare the rate of convergence of the Newton-Raphson method, Regula-Falsi method and the method of Bisection to find the root of the equation 2x sinx = cosx lying between 0 and 1.

Assignment 8

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Write a program in C to compute a difference table for the following data and hence find the value of and

; p and q are to be taken from the users.

X 0.30 0.32 0.34 0.36 0.38 0.40

Y 1.7596

1.7698 1.7804

1.7912 1.8024

1.8139

Assignment 9

Write a program in C to find f(2.02) having given the following table, using Newton’s forward Interpolation formula correct to five significant figures.

X 2.0 2.2 2.4 2.6 2.8 3.0

f(x)

0.30103 0.34242 0.38021 0.41497 0.44716 0.47721

Assignment 10

Write a program in C to find f(2.91) having given the following table, using Newton’s Interpolation formula, correct to five significant figures.

X 2.0 2.2 2.4 2.6 2.8 3.0

f(x)

0.30103 0.34242 0.38021 0.41497 0.44716 0.47721

Assignment 11

Write a program in C to find the missing element in the following table:

X 22

25 28 31 34

37

f(X) 14

27 35 ? 50

65

Assignment 12

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Write a program in C to find the value of X when it is given that f(X) = 55 in the table given in Assignment 11 after finding the value of f(31).

Assignment 13

Solve by Gauss elimination method with partial pivoting, the following system of equations correct up to four significant figures.

x + 3y = 2z = 5

2x – y + z = -1

x + 2y + 3z = 2

Assignment 14

Find the inverse of the following matrix by Gauss-Jordan method.

Hence find the root of the following system of equations correct up to five decimal places:

5x + 3y +7z = 5

x +5 y +2 z = -1

7x + 2y + 10z = 5

Assignment 15

Solve, by Gauss-Jacobi iterative method, the following system of equations correct up to four significant figures.

4.50x + 0.15y + 0.30z = 1.57

0.15x – 10.50y + 0.45z = -3.86

0.45x + 0.30y – 15.00z =14.28

Assignment 16

Solve, by Gauss-Seidel iteration method, the following system of equations, correct up to four significant figures.

6.32x - 0.73y - 0.65z + 1.06t = 2.95

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0.74x + 1.01y + 5.28z -0.88t = 1.97

1.13x – 0.89y + 0.61z +5.63t = 4.27

Assignment 17

Write a program in C to calculate the approximate value of the following definite integrals using Trapizoidal rule, taking 20 subintervals, correct up to 6 significant figures. Calculate the percentage of error present in the result for (i).

(i)

Assignment 18

Write a program in C to calculate the approximate value of correct up to 7 significant figures, using Simpson’s 1/3 rule, taking 30 subintervals.

Assignment 19

Write a program in C to calculate the approximate value of correct up to 4 significant figures, using Simpson’s 1/3 rule and Trapizoidal rule, taking 18 subintervals. Compare the results by calculating percentage error. (Assume the result correct upto 7 significant digits as the exact value.)

Assignment 20

Write a program in C to calculate the approximate value of correct up to 6 significant figures, using Simpson’s 3/8 rule.

Assignment 21

Write a program in C to compute y(1.0), correct up to 7 significant figures, by Euler’s method

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Assignment 22

Write a program in C to compute y(1.0), correct up to 5 significant figures, by Euler’s method and Modified Euler’s method from the following differential equation:

; y(0) = 1,

taking step length h = 0.25. Compare the results (approximate values) obtained in both the cases with the exact value.

Assignment 23

Write a program in C to compute y(0.6), correct up to 7 significant figures by the method of Runge-Kutta of second order from the following differential equation:

dy/dx = (0.5 - x + y2) / (x2 + y +1); y(0) = 0, taking step length h = 0.1.

Assignment 24

Write a program in C to compute y(0.5), correct up to 7 significant figures, by the Modified Euler’s method and Runge-Kutta method of second order from the following differential equation:

dy/dx = 0.25 y2 + x2 ; y(0) = -1,

taking step length h = 0.1 . Hence, compare the results.

Assignment 25

Write a program in C to represent a set of 100 bivariate data of the form (x, y) into a two way frequency table and then calculate and from the marginal distributions. Generate the (x, y) tuples using random numbers so that 0 < x < 51 and 150 < y < 250.

Assignment 26

Write a program in C to compute the correlation coefficient between X and Y.

X 2.52 2.49 2.49

2.45 2.43 2.42 2.41 2.40

Y 740 720 780 900 960 1020 980 1040

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Ten students obtained the following marks in Mathematics and Statistics. Calculate the rank correlation coefficient between these two sets of data using a C program.

Student 1 2 3 4 5 6 7 8 9 10

Marks in Mathematics 78

36 98 25

75 82

90 62

65 39

Marks in Statistics 84

51 91 60

68 62

86 58

53 47

Assignment 28

Write a program in C to predict the value of x when the value of y is given and vice versa from a given bivariate data set.

Reference books:1. Mollah S. A., “Numerical Analysis and Computational Procedures,” Books and Allied (P) Ltd.,

Kolkata, 2017.2. Sastry S.S., “Introductory Methods of Numerical Analysis,” PHI, Private Ltd., New Delhi.3. Pal N. & Sarkar S., “Statistics: Concepts and Applications,” PHI, New Delhi, 2005.4. Das N. G., “Statistical Methods,” Tata McGraw Hill Edu. P. Ltd., New Delhi, 2010.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA201Course Title: OBJECT ORIENTED PROGRAMMING USING JAVAPre-requisite(s): Introduction to Structured ProgrammingCo- requisite(s): JAVA LabCredits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Learn about Object oriented programming conceptsB. Learn how to use the JDKC. Improve their programming skills in core JavaD. Use the Java packages, applets for software developmentE. Use the knowledge of object-oriented programming through Java

Course Outcomes

After the completion of this course, students will be able to:

CO1. Elaborate the use of JDK of various versions for programmingCO2. Identify the latest know-how related to the new developments in the field of

JavaCO3. Apply the knowledge gained for their project work as well as to develop some

GUI applications.CO4. Design solutions in JAVACO5. Apply features of Advanced Java through programming

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Procedure-Oriented Programming, Object-Oriented programming, Benefits of OOP, Applications of OOP, Basics, Evolution of Java, Structure of JAVA Program, Simple Java Program, Tokens, Comments, Identifiers, Operators, Literals, Control Structures. Java Environment Setup, Compiling a Java Program, Java Virtual Machine, Philosophy of Java and Benefits.

10

Module – II

Data types and program statements: Primitive and reference data types, variables and constants, enumerated constants, labelled statement, expression and null statements, compound statement, control statement – decision and loops, jump statement, declaration statement, try-throw-catch-finally statement, declaring and creating arrays, accessing array elements, assigning values to array elements, multidimensional arrays.

10

Module – III

Functions, Data Abstraction and classes: Declaration, definition and call, main method arguments, reference variables, method overloading, parameter passing by value for primitive types, object references and arrays, scope of variables, return from methods.Class and object, class members and initialization, access rights of members – public, private and protected access modifiers, constructor and copy constructor, mutability, finalization, dynamic memory management, garbage collection, this keyword, static members, scope of variables, interface – declaration, implementation and extending, package and package visibility.

7

Module – IV

Inheritance and Collection classes: multi-level and single inheritance, multiple inheritance of interfaces, Object class, access rights in subclasses and packages, constructor calling sequence, super keyword, dynamic binding of methods, abstract class, overriding, shadowing and hiding, finalize, association, aggregation and composition.String, StringBuffer, Date, Calendar, Math, Object, Class, Exception class

8

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Input/Output and JAVA Applets: Stream clases – InputStream, OutputStream, Buffered Stream, file classes and handling, pushback streams, reader and writer classes, file reader and writer, serialization.Applet code example, HTML tags for applet, applet life cycle, color, font andbasic GUI handling, basic graphics, and animation.

Text Books:1. Balagurusamy E., “Programming in Java”, 2nd Edition, Tata McGraw Hill Publication, New

Delhi.

Reference Books:

1. Naghton Patrick & Schildt H., “The Complete Reference Java 2”, Tata McGraw Hill Publication, New Delhi.

2. Dietel Harvey M & Dietel Paul J., “Java How to program”, 7th edition, Pearson Education, New Delhi.

Gaps in the Syllabus (to meet Industry/Profession requirements) 4. Multithreading process in Java.5. Detailed applet programming.6. Handling available Java applications as case studies for better understanding.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 5. Concepts of multithreading in Java6. Detailed knowledge on GUI designs in Java7. Database connectivity with front end

POs met through Topics beyond syllabus/Advanced topics/Design 3, 4, 5, 6

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA203Course Title: DATABASE MANAGEMENT SYSTEMSPre-requisite(s): Introduction to Structured ProgrammingCo- requisite(s): JAVA LabCredits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To understand the structure of databasesB. To learn Query processing and decomposition.C. To understand how to create a databaseD. To learn transaction processing in databasesE. To understand how concurrency control is performed in a database.F. To understand fault tolerance and reliability of database.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Design a database for a given set of requirements.CO2 Use SQL.CO3 Apply normalization techniques on given database.CO4 Have knowledge of ‘indexing and hashing’ mechanisms in a database

management system.CO5 Have idea of the backend activities involved in extracting data from a

database.Have knowledge of transaction and concurrency controlmechanisms in a database management system.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction: Purpose of Database Systems, View of Data, Data Models, Database Languages, Relational Database, Database Architecture, Database Users and Administrators, Transaction Management.

10

Module – II

Relational Data Models and Languages: Basic Concepts, Constraints, Keys, Entity-Relationship Diagram, Weak Entity Sets, Extended E-R Features, Reduction of an E-R Diagram to Tables, The Relational Algebra, The Tuple Relational Calculus and The Domain Relational Calculus.

10

Module – III

Relational-Database Design: Pitfalls in Relational-Database Design, Functional Dependencies, Decomposition, Desirable Properties of Decomposition, First Normal Form, Second Normal Form, Third normal Form, Boyce-Codd Normal Form, Fourth Normal Form and More Normal Forms.

7

Module – IV

Query Processing and Optimization: Overview, Measures of Query Cost, Selection Operation, Join Operation, Other Operations, Evaluation of Expressions, Transformation of Relational Expressions, Estimating Statistics of Expression Results, and Choice of Evaluation Plans.

8

Module – V

Transactions and Concurrency Control: Transaction Concept, Transaction State, Desirable Properties of Transactions, Concurrent Executions, Serializability, Recoverability, Lock-Based Protocols, Timestamp-Based Protocols and Deadlock Handling.

5

Text Books:1. Silberschatz, Korth, & Sudarshan, “Database System Concepts”, 6th Edition, McGraw Hill, 2011.Reference Books:

1. Elmasri, & Navathe, “Fundamentals of Database Systems”, 5th Edition, Pearson Education, 2008.2. Date C.J., “An Introduction to Database System”, Pearson Education, New Delhi, 2005.

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Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9

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CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA202Course Title: OBJECT ORIENTED PROGRAMMING USING JAVA LABPre-requisite(s): INTRODUCTION TO STRUCTURED PROGRAMMINGCo- requisite(s): Java Lab Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Learn about Object oriented programming conceptsB. Learn how to use the JDKC. Improve their programming skills in core JavaD. Use the Java packages, applets for software development

E. Use the knowledge of object-oriented programming through Java

Course Outcomes

After the completion of this course, students will be able to:

CO1 Elaborate the use of JDK of various versions for programmingCO2 Identify the latest know-how related to the new developments in the field of

JavaCO3 Apply the knowledge gained for their project work as well as to develop

someGUI applications.

CO4 Design solutions in JAVACO5 Apply features of Advanced Java through programming

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SYLLABUS

1. WAJP to show the characteristic of a number. {E.g. 24 it has two coefficients 2 in tens position and 4 in units position. It is composed of 2 and 3. It is a positive number. Also show whether it is odd or even.

2. WAJP to take input through command line argument and do the following:a) Check whether the number is prime.b) Generate the reverse a number.

3. Write a menu driven program using switch in Java to perform following:a) For input of 1, check whether the number is primeb) For input of 3, find the factors of the numberc) For input of 5, check the number is odd or even.

4. Write a program in Java to generate hexadecimal equivalent of a number without using array.5. WAJP to take two number inputs through command line argument and do the following:

a) Check whether two numbers are prime to each other or not.

b) Find LCM of two numbers.

6. WAJP to create a class and exhibit the role of static functions (other than main) by declaring, defining and calling them.

7. WAJP to compute and display the count of occurrence of 4 in a number. E.g. 4564 will compute 2.

8. WAJP to take an angle value in degrees and then compute the equivalent radians and then provesin 2 cos2 1. Note180o c .

9. WAJP to sort a list of numbers in ascending order.

10. WAJP to generate Pascal’s Triangle using a square matrix.11. Write a program in Java to take input of two 3×3 matrices through command line argument and

then:a) Add them up and display the result

b) Subtract them and display the result

c) Multiply them and display product12. WAJP to count the number of words, characters in a sentence.

13. Write a program in Java to take input of a sentence through command line argument and then count the number of words and vowels.

14. WAJP to handle the Exception using try and multiple catch block; the exceptions that you will handle are, number format error, array bound error and divide by zero.

15. WAJP to create a class called Room with two data member length and width and then implement constructor overloading in it.

16. Write a program in Java to explain the role of the following:a) Non-parameterized constructorb) Parameterized constructorc) Copy constructor

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Take input and display the output.

16. WAJP to create a class called Fraction with data member numerator and denominator; take input (through command line argument) of two fractions and then add, subtract, multiply and divide, finally display the result in reduced term.

17. Write a program in Java to create a class for Employee having 2 data member code and name. Then create 3 classes Officer, AdminStaff and MStaff. The Officer class has data members designation and pay-scale; the AdminStaff has data members grade and pay-band; the MStaff has data member department and two sub-classes Regular and Casual. The Regular staff has data members level and consolidated-pay and Casual has data member daily-wage. Take all inputs through constructors and write appropriate methods for displaying one data for each type of class.

18. WAJP to design a class called Account using the inheritance and static that show all function of bank (withdrawal, deposit) and generate account number dynamically.

19. WAJP to design an application Password.java that produces and prints a random password depending upon name of an individual. If the input is Abdul Kalam then the password would be 33421LAM. Note: take the first name A=1, B=2, D=4, U=21 where 2+1=3, and L=12, where 1+2=3; so the number comes to be 12433, so u can find out.

20. WAJP to draw a format like ****

*****

*******

*****

***

*

21. WAJP to take a string count all vowels and then delete the same from the string.22. Write a Patient class which inherits from the Person class. Patient can again be of

two types, indoor and outdoor. The Patient class requires the following:a) a variable to store the patient ID for the patientb) a variable to store the department of hospitalc) a variable to store the ward of hospitald) a variable to store the patient 's date of joining the hospitale) a variable to store the patient 's addressf) a variable to store the medical fees that the patient paysg) constructor methods, which initialize the variablesh) a method to calculate the medical fees (for both indoor and outdoor patient)

23. WAJP to take a string as password and check whether it contains at least two

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numbers, 3 alphabets and no space in it. If any contrary throw message.24. Write a program in Java to create a class called Rational having two data members for

numerator and denominator. Take two inputs of rational numbers and perform multiplication and division. Display the result in reduced form.

25. Write a program in Java to print a format like, * * * * * * ** * * * *

* * **

26. Write a class called Shape which contains a user-defined interface for Computation, which contains methods for calculation of area, perimeter and volume. Write four classes for circle, rectangle, sphere and rectangular parallelepiped, and all these classes inherit from Shape. Now take input for the following:

a) radius of circle and compute its area and perimeterb) Length and breadth of rectangle and compute its area and perimeterc) Length, breadth and height for rectangular parallelepiped and compute

its area and volumed) Radius of sphere and compute its area and volume

** Area of circle= r 2 , perimeter of circle= 2r , area of sphere= 4r 2 , volume of sphere=

4 r 3 , volume

3

of rectangular parallelepiped = l b h area of rectangular parallelepiped= 2(l b b h h l)

27. Write a class called Employee, which requires the following:a) a variable to store the employee ID

a. employee ID should be of format EMPM1234, EMPS1234, EMPA1234, EMPC1234, where M=manager, S=supervisor, A=analyst, C=clerk; number can be any no. but first three characters should be EMP

b) a variable to store the employee namec) a variable to store departmentd) a variable to store citye) a variable to store basic salaryf) a method to calculate the salary of employee

a. if the city is metro then the HRA would be 30% else 20%b. if the employee ID contain M then DA would be 120%, if S then

DA would be 110%, if A then DA would be 100%, and if C then DA would be 90%

g) constructor methods, which initialize the variables28. WAJP to create 4 threads and show exhibit their execution after the call of the “start

( )” method.Write a program in Java to create 3 threads and exhibit their behaviour by changing their

priorities in the “main” thread. Display the possible output.

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Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Multithreading process in Java.2. Detailed applet programming.3. Handling available Java applications as case studies for better understanding.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 4. Concepts of multithreading in Java5. Detailed knowledge on GUI designs in Java6. Database connectivity with front end

POs met through Topics beyond syllabus/Advanced topics/Design 3, 4, 5, 6

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

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1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA204Course Title: DATABASE MANAGEMENT SYSTEMS LAB Pre-requisite(s): INTRODUCTION TO STRUCTURED PROGRAMMINGCo- requisite(s): Java Lab Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To understand the structure of databasesB. To learn Query processing and decomposition.

C. To understand how to create a databaseD. To learn transaction processing in databasesE. To understand how concurrency control is performed in a database.F. To understand fault tolerance and reliability of database.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Design a database for a given set of requirements.CO2 Use SQL.

CO3 Apply normalization techniques on given database.CO4 Have knowledge of ‘indexing and hashing’ mechanisms in a database

management system.CO5 Have idea of the backend activities involved in extracting data from a

database.Have knowledge of transaction and concurrency controlmechanisms in a database management system.

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SYLLABUS

List of Programs as Assignments:

Consider the following tables:

emp(empno,ename,job,mgr,hiredate,sal,comm,deptn

o,gr), dept(deptno,dname,loc)

Write the following queries:1. List all information about all department from emp table.2. List all employee names along with their salaries from emp table.3. List all department numbers, employee numbers and their managers numbers in descending order of deptno from emp table.4. List department names and locations from the dept table.5. List the employees belonging to the department 20.6. List the name and salary of the employees whose salary is more than 1000.7. List the names of the clerks working in the department 20.8. List the names of analysts and salesmen.9. List the details of the employees who have joined before the end of September 81.10. List the names of employees who are not managers.11. List the names of employees whose employee number are 7369, 7521, 7839, 7934,

7788.12. List the employee details not belonging to the department 10, 30, and 40.13. List the employee name and salary, whose salary is between 1000 and 2000.14. List the employee names, who are not eligible for commission.(salary having >15,000 eligible for commission)15. List the employees who are eligible for commission.16. List the details of employees, whose salary is greater than 2000 and commission is

NULL.17. List the employees whose names start with an “S” (not”s”).18. List the name, salary and PF amount of all the employees(PF is calculated as 10% of

salary).19. List the empno, ename, sal in ascending order of salary.20. List the employee name, salary, job and Department no descending order of Department No and salary.21. List the employee details in ascending order of salary.22. List the employee details in descending order of salary23.Display name, and sal and commission of all employees whose monthly salary isgreater than their commission.

24. Select SMITH HAS WORKED IN THE POSITION OF CLERK IN DEPT 20.Display result in this format.

25. Generate a statement which prompts the user at runtime. The intention is to display employees hired between 2 given dates.

26. Define a variable representing an expression used to calculate total annual remuneration. Use the variable in a statement which finds all employees who earn

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$30000 a year or more.

27. List all the employees name and salaries increased by 15% and expressed as a whole number of dollars.

28.Produce the followingEMPLOYEE AND JOB SMITH CLERKALLEN SALESMAN

29. Produce the following output: SMITH ( Clerk)ALLEN ( Salesman)

30. Do a case sensitive search for a list of employees with a job that the user enters.31. It has been discovered that the sales people in dept. 30 are not all male.

Please produce the Followingoutput.ENAME DEPTNO JOB

ALLEN 30 Sales Person32. Display each employees name and hiredate of dept 20.

33. Display each employees name, hiredate and salary review date. Assume salary review date is one year from hiredate. Output should be in ascending review date.

34. Print list of employees displaying just salary, if more than 1500. If exactly 1500 display “ On Target”. If less than 1500 display “ Below 1500”.

35. Write a query which returns DAY of the week ( i.e. MONDAY) for any date entered in the format DD/MM/YY.

36. Write a query to calculate length of service of each employee.37. Find the minimum salary of all employees.38. Find the maximum, minimum, and average salaries of all employees.39. List the maximum and minimum salary of each job type.40. Find how many managers are in each dept.41. Find the average salary and average total remuneration of each job type. Remembers sales man earn commission.42. Find out the difference between highest and lowest salary.43. Find all department s which have more than three employees.44. Check whether all employee nos are unique. ( No Duplicate)45. List lowest paid employee working for each Manager. Exclude any groups

where the minimum salary is less than 1000. Sort the output by salary.46. Produce a list showing employees ‘salary grade’.(> 10000 A, >10000 &<20000 B,

>20000 C)47. Show only employee on Grade C.48. Show all employee in Dallas.49. List the employees name, job, salary, grade and department for everyone in the company except clerks. Sort on salary, displaying the highest first.

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50. List the following details of employees who earn $36000 a year or who are clerks.Ename Job Annual Sal Dept no Dname Grade51. Display all employees who earn less than their managers.52. Display all employees by name and eno along with their managers name and number.53. Modify above spoliation to display KING who has no MANAGER.54. Find the job that was files in the first half of 1983 and the name job that was

filled in the same period in 1984.55. Find all employees who have joined before their manager.EMPLOYEE HIREDATE MANAGER HIREDATE

56. Find the employees who earn the highest salary in each job, type, sort in descending order of salary.57. Find the employees who earn the minimum salary for their job,

Display the result in descending order of salary.

58. Find the most recently hired employees in the department. Order by hiredate.59. Show the details of any employee who earns a salary greater than the

average for their department. Sort in department number order.60. List all department where there are no employees.

TEXT BOOK 1.SQL, PL/SQL the programming Language of Oracle, Ivan Bayross, 4th edition

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

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Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA255

Course Title: FUNDAMENTALS OF COMPUTER ALGORITHMSPre-requisite(s): Knowledge Of Basic Mathematics (Graph Theory) And Data StructuresCo- requisite(s):Credits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To understand basic algorithm designing techniques such as recursion, greedy, backtracking and branch and bound.

2. To analyze the asymptotic performance of an algorithm.

3. To demonstrate a familiarity with algorithms and data structures..

4. To apply important algorithmic design paradigms and methods of analysis in solving real life problems.

5. To Synthesize efficient algorithms in common engineering design situations.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Students will be able to have a clear understanding on solving the problems systematically.

CO2 Students will be able to make use of linear and non-linear data structures, like, graphs and trees while designing algorithms.

CO3 Students will be having a clear understanding of different design paradigms..

CO4 Students will be able to analyze and measure the efficiency of an algorithm

CO5 Students will have basic knowledge of fundamentals of algorithms which would help them to take up an advanced course in the same field.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction:

What is an algorithm? Design and performance analysis of algorithms, space and time trade-offs. Analysis of selection sort and insertion sort. Asymptotic notations (O, è, ¿,ωο) to measure complexity of algorithms.

8

Module – II

Recursion:

Basic concept. Analysis of recursive algorithms, Master's theorem. Divide & Conquer: The general method. binary search, finding the maximum and minimum, merge sort, quick sort, Best and worst case analysis for the mentioned algorithms.

8

Module – III

The Greedy Method:

The general method. Applications to Knapsack problem, minimum weight spanning trees: Prim’s & Kruskal’s algorithms. Dijkstra's algorithm for finding single source shortest paths problem.

8

Module – IV

Algorithms on Graphs:

Breadth First Search, Depth First Search, Biconnectivity, Depth First Search of a Directed Graph, Topological Sorting.

8

Module – V

Basic concepts of Backtracking:

8-queen problem, Branch and Bound: 0/1 Knapsack problem, assignment problem.

8

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Text Books:

1. CormenThomas H., LeisersonCharles E., & Rivest.Ronald L., “Introduction to Algorithms PHI publication.

2. Horowitz Ellis, Sahni Sartaj and Rajasekaran S., “Fundamentals of Computer Algorithms” Galgotia publications.

Reference Books: 3. Aho Alfred V., Hopcroft John E. & Ullman Jeffrey D., “The Design & Analysis of Computer

Algorithms”, Addison Wesley Publications.4. Kleinberg Jon & Tardos Eva, “Algorithm Design”, Pearson Education Publications.5. Brassard Gilles & Bratley Paul, “Fundamentals of Algorithms”, PHI Publications.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Dynamic Programming design paradigm.

POs met through Gaps in the Syllabus 3, 4, 5

Topics beyond syllabus/Advanced topics/Design

NIL

POs met through Topics beyond syllabus/Advanced topics/Design N.A.

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 2 1 2 3 3 3 3CO2 3 1 1 1 1 3 1 1 2 1 2 3 3 3 3CO3 2 3 3 1 2 1 2 2 2 1 2 3 3 3 3CO4 1 1 3 3 1 1 1 1 2 1 2 3 3 3 3CO5 3 3 3 1 2 1 1 2 2 1 3 3 3 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD2, CD 8CD2 Tutorials/Assignments CO2 CD1, CD2, CD8

CD3 Seminars CO3CD1, CD2, CD3, CD5, CD8

CD4 Mini Projects/Projects CO4 CD1, CD3, CD8

CD5 Laboratory Experiments/Teaching Aids CO5CD1, CD2, CD3, CD8

CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA256Course Title: WEB PROGRAMMINGPre-requisite(s): HTML, XMLCo- requisite(s): Web Programming LabCredits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: IV/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To learn about basics of web programmingB. Learn HTML, Java Script, XML for scriptingC. Learn web based programming using ASP.NETD. Learn PHP based programmingE. Learn Making static and dynamic websites

Course Outcomes

After the completion of this course, students will be able to:

CO1 Know the fundamentals of web programmingCO2 Identify .NET technology and frameworkCO3 Elaborate on the web based programmingCO4 Perform web based programming.

CO5 Design static and dynamic websites

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction to Internet and HTML: Introduction to Internet, Internet Services, Web Server, Web Client, Domain Registration, Internet Security. HTML Tags, HTML Documents, Header Section, Body Section, Headings, Link Documents using Anchor Tag, Formatting Characters, Font tag, Images and Pictures, Listing, Tables in HTML.

8

Module – II

Java Script:Data Types, Variables, Operators, Conditional Statements, Array Objects, Date Objects, String Objects, Use of Java Script in Web Pages, Advantages of Java Script, Type Casting, Array, Operators and Expression, Conditional Checking, Function, User Defined Function.

8

Module – III

Understanding XML: Overview of XML, XML Families of Technology, Creating XML Documents, Rules for Well-Formed XML, Discerning Structure, Working with Mixed content, Adding Comments, CDATA Sections, Creating a DTD-The Concept of a Valid XML Document, Creating a DTD for an existing XML File.

8

Module – IV

ASP .NET: Building Web Forms Using ASP .NET, Exploring ASP .NET Server Controls, Using ASP.NET Server Controls to Create Web Forms, Understanding the Code behind the Page. Working with User Controls, Exposing User Control Properties and Methods, Using ASP .NET Server Controls in User Controls, Using Validation Controls to Improve Web Forms, Uploading Files to a Web Server.

8

Module – V

PHP: Preparing the Use PHP, Exploring PHP for the First Time, Understanding PHP Basics, Displaying PHP Output, Managing PHP Program Flow. Planning a PHP Web Application, Creating and Using a Logon Window, Managing System Data, Updating a PHP Web Application.

8

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TEXT BOOKS1. XavierC., “Web Technology & Design”, New Age International Publishers, 1st

Edn, New Delhi, 2004.2. BaiXue, Ekedahl Michael, FarrellJoyce, GosselinDon, ZakDiane, KaparthiShashi,

MacintyrePeter, Morrissey Bill, “The Web Warrior Guide to Web Programming”, India Edition, Thomson Education.

REFERENCE BOOK1. RossIvan Bay, “Web Enable Commercial Application Using HTML, DHTML”,

BPB Publication.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Detailed learning of HTML and XHTML2. Detailed learning of JavaScript3. Detailed learning of XML

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Concepts of XSLT2. Knowledge about Active Server Pages3. Designing interactive server pages

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 1

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA258Course Title: SOFTWARE ENGINEERINGPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: IV/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students :

1. To understand the importance, limitations and challenges of processes involved insoftware development

2. To gain knowledge of various software models.3. To learn about software requirements analysis and specification4. To gain knowledge of various software design activities5. To learn cost estimation, software testing, maintenance and debugging.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify the difference of software engineering discipline with the other engineering disciplines

CO2 Elaborate knowledge of various software modelsCO3 Analyse about software requirements analysis and specificationCO4 Infer from knowledge of various software design activities.CO5 Implement cost estimation, software testing, maintenance and debugging.

SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

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Module – IIntroduction: S/W Engineering Discipline-Evolution and Impact, Program vs S/W ProductEmergence of S/W Engineering. Software Life Cycle Models: Waterfall, Prototyping, Evolutionary, Spiral models and their comparisons. Software Project Management: Project Manager responsibilities, Project Planning, Project Size Estimation Metrics, Project estimation Techniques, COCOMO, Staffing Level Estimation, Scheduling, Organization& Team Structures, Staffing, Risk Management, S/W Configuration Management.

8

Module – II

Requirements Analysis and Specification: Requirement Gathering and Analysis, SRS Software Design: Overview, Cohesion and Coupling, S/W Design Approaches, Object-Oriented vs. Function-Oriented Design. Function-Oriented S/W Design: SA/SD Methodology, Structured Analysis, DFDs, Structured Design, Detailed Design

8

Module – IIIObject Modelling Using UML: Overview, UML, UML Diagrams, Use Case Model, Class Diagramsetc.Object-Oriented Software Development: Design Patterns, Object-Oriented analysis and Design Process, OOD Goodness Criteria. User Interface Design: Characteristics, Basic Concepts, Types, Components Based GUI Development, User Interface Design Methodology

8

Module – IVCoding and Testing: Coding, Code Review, Testing, Unit Testing, Black Box Testing, White-Box Testing, Debugging, Program Analysis Tools, Integration Testing, System Testing, General Issues. Software Reliability and Quality Management: S/W Reliability, Statistical Testing, S/W Quality, S/W Quality Management System, ISO 9000, SEI CMM, Personal Software Process, Six Sigma

8

Module –V

Software Maintenance: Characteristics, S/W Reverse Engineering, S/W Maintenance Process Models, Estimation of Maintenance Cost.

8

Text Books:1. MallRajib, “Fundamentals of Software Engineering”, PHI, 2005

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Reference Books: 1. Pressman, “Software engineering A Practitioner’s Approach”, MGH.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1.  It is not possible to teach students all the methods and practices employed by practitioners.

2. Software engineering is dynamic disciplines that have continuous growth in research in identifying new methods, tools and methodologies that have cause vast improvement in software development and maintenance to be more reliable and efficient.

3. To improve the quality of software are increasing due to the competition in software industry and the complexity of software development

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Model-driven software development2. Aspect-oriented software development3. Software engineering for security4. Metamodeling5. UML profiles

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 2 2 3 3CO2 3 1 1 1 1 3 1 1 2 2 3 2CO3 2 3 3 1 2 1 2 2 1 1 2 3 2 3CO4 1 1 3 3 1 1 1 1 1 1 2 3 2 2CO5 3 3 3 1 2 1 1 2 1 1 1 2 3 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9

CD3 Seminars CO3CD1, CD2 and CD3

CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA257

Course Title: WEB PROGRAMMING LABPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To learn about basics of web programmingB. Learn HTML, Java Script, XML for scriptingC. Learn web based programming using ASP.NETD. Learn PHP based programmingE. Learn Making static and dynamic websites

Course Outcomes

After the completion of this course, students will be able to:

CO1 Know the fundamentals of web programmingCO2 Identify .NET technology and frameworkCO3 Elaborate on the web based programmingCO4 Perform web based programming.CO5 Design static and dynamic websites

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SYLLABUS

1. India is a large country. Different regions observe variations in climate. The spoken language of one state is quite different from that of another. They wear different types of garments. They celebrate different festivals and perform varied religious rites. People belonging to diverse cultures belong to different religious faiths. In spite of these diversities, Indians feel a sense of unity and oneness among them. Thus, we conclude that India is a land of Unity in Diversity.

a) All the headings should be H2 and green colour.b) Main heading should be H1 and centre aligned.c) The background should be yellow colour.d) There are 10 paragraphs so each of them should be made using P tag.e) The Introduction and Conclusion paragraphs should have “Times New

Roman” font, the size should be 12 and colour should be blue.f) All the remaining paragraphs text should be pink and magenta coloured in

an alternate way.g) There should be one meaningful picture in the web page with specific

dimension.2. Create a webpage having a list as shown below:

Fooda. Fruit

Apple Mango Pear

b. Vegetable Potato Tomato Carrot

Dressa. Ethnic wear

Kurta Sherwani

b. Western wear suit jeans

Sportsa. Indoor sports

carom table tennis

b. Outdoor sports Cricket Hockey

3. Create a webpage with the following:

a) A superscript and subscript tagb) Pre tagc) Paragraph tagd) Anchor tag

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e) Image tagf) Definition list tagg) Marquee tagh) Horizontal line tagi) Break tagj) Heading tag

4. Create a webpage having 10 divisions each having separate background color and text color using

<DIV> tag. At the top right corner there should be an image hyperlink opening in a new webpage.

5. Create a webpage with a form loaded into it and take input of three strings through three textboxes and then concatenate them without using any built-in function.

6. Create a webpage with two tables. First one should have 1 row and 5 columns and the second one with 3 rows and 4 columns. The contents of the first table should be center aligned and contents of the second table should be right aligned. Each column of the first table should have separatecolors and each row of the second table should have separate colors.

7. Write a JavaScript program to calculate and display the aggregate and percentage of three subjects’ (Physics, Chemistry and Mathematics) marks along with the name of a student. The name and individual marks input shall be taken by textbox in the webpage.

8. Write a JavaScript program to search the element 4 in the array [2, 6, 4, 10, 4, 0, -2] using any method.9. Create a framed webpage with different frames as below:

1 2 3

4 5

6 7 8

Contents of 1st, 3rd, 5th, 7th frame should be same again 2nd, 4th, 6th and 8th should be same.

10. Create a webpage to take input of a string and check whether it is a palindrome or not.11. Write a program using JavaScript to display a structure as given below:

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** ** * ** * * ** * * * *

12. Write a program using JavaScript to take input of an array of numbers like [-4, 5, 6, -1, 10] and then sort it in descending order.

13. Create a webpage to take input of a string and reverse that without using any user defined function.

14. Write a JavaScript program to search 10 in the array [2, 6, -5, 10, 11, 0, -2] using a binary search method.

15. Write a JavaScript program to take two arrays like [3, 7, 1, 6, 2, 3] and [5, 6, 0, -3] and merge them into third array along with that remove the repetitive elements.

16. Write a JavaScript program to calculate the percentage of three subjects’ (English, Mathematics, and Science) marks along with the name of a student. The name and individual marks input shall be taken by form in the webpage.

17. Create a webpage to take input of a string and count the number of vowels in it.18. Create a webpage to take input of two strings and concatenate them without using any

built-in function.19. Create a webpage to take input of a string and then slice it into three separate strings and

display that.20. Write a JavaScript program to take two arrays like [1, 3, 8, 1, 6, 2, 3] and [2, 1, 5, 6, 0,

-3] and merge them into third array along with that remove the repetitive elements.21. Write a JavaScript program to calculate and display the aggregate and percentage of

three subjects’ (Physics, Chemistry and Mathematics) marks along with the name of a student. The name and individual marks input shall be taken by textbox in the webpage.

22. Create a webpage to take input of a string and check whether it is a palindrome or not. Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment a) Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA259Course Title: SOFTWARE ENGINEERING LABPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To understand the concept of UML2. To gain knowledge of various diagrams.

3. Learn about software requirement specification.

4. To gain knowledge about software design specification5. To learn about the relationships among different UML diagrams.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify the software requirement capturing process.

CO2 Elaborate knowledge about dynamic view of system.

CO3 Analyse about static view of software system.

CO4 Analysis about the relationship among static and dynamic view of system.CO5 Identify the process of deployment of software system

SYLLABUS

List of Programs as Assignments

1. Draw use case diagram for online banking system.

2. Draw use case diagram for online library system

3. Draw use case diagram for online railway reservation system

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4. Draw use case diagram for employee information system.

5. Draw use case diagram for inventory control system

6. Draw use case diagram for student information system.

7. Draw use case diagram for online hotel management system.

8. Draw use case diagram for online bus reservation system.

9. Draw use case diagram for online course registration system

10. Draw use case diagram for online teacher information system.

11. Draw sequence diagram for online banking system.

12. Draw sequence diagram for online library system.

13. Draw sequence diagram for online railway reservation system.

14. Draw sequence diagram for employee information system.

15. Draw sequence diagram for inventory control system.

16. Draw sequence diagram for student information system.

17. Draw sequence diagram for online hotel management system.

18. Draw sequence diagram for online bus reservation system.

19. Draw sequence diagram for online course registration system.

20. Draw sequence diagram for online teacher information system.

21. Draw activity diagram for online banking system.

22. Draw activity diagram for online library system.

23. Draw activity diagram for online railway reservation system.

24. Draw activity diagram for employee information system.

25. Draw activity diagram for inventory control system.

26. Draw activity diagram for student information system.

27. Draw activity diagram for online hotel management system.

28. Draw activity diagram for online bus reservation system.

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29. Draw activity diagram for online course registration system

30. Draw activity diagram for online teacher information system.

31. Draw class diagram for online banking system.

32. Draw class diagram for online library system

33. 33. Draw class diagram for online railway reservation system

34. Draw class diagram for employee information system.

35. Draw class diagram for inventory control system

36. 36.. Draw class diagram for student information system.

37. Draw class diagram for online hotel management system.

38. Draw class diagram for online bus reservation system.

39. Draw class diagram for online course registration system .

40. Draw class diagram for online teacher information system

Text Books:

1.MallRajib, “Fundamentals of Software Engineering”, PHI, 2005.

Reference Books:

1. Pressman, “Software engineering A Practitioner’s Approach”, MGH.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Estimation of software scope feasibility and resources.2. Develop architectural diagram, and implement by following coding principles.3.Apply testing strategies and handle software product maintenance issues.POs met through Gaps in the Syllabus

3, 4, 2

Topics beyond syllabus/Advanced topics/Design 1. Gather and analyze system requirements2. Develop process models and process system models3. Translating design into coding.4. Applying different testing stategies

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POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 3 3CO2 3 3 3 1 3 1 1 1 2 3 2 3CO3 3 3 3 3 3 1 2 2 1 1 2 3 3 2CO4 3 3 3 1 3 1 1 1 1 2 2 3 2CO5 3 3 3 3 3 1 1 1 1 1 1 2 3 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9

CD3 Seminars CO3CD1, CD2 and CD3

CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2

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CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA301Course Title: COMPUTER GRAPHICS AND MULTIMEDIAPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Acquire fundamental knowledge of role of multimedia and graphics incomputer science.

B. Learn various object modelling algorithms and computations related to it.C. Learn to model and colour 2D and 3D objectsD. Learn to develop simple Graphical User Interface

E. Learn about graphics system and corresponding display methodologies.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Can perform visual computations for geometrical drawings.CO2 Can model 2D objects.CO3 Apply geometrical transformation of the modelled objects.CO4 Can develop simple Graphical User Interface.CO5 Design multimedia applications

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction to Graphics Systems: Video Display Devices, Raster Scan Systems, Random Scan Systems, Graphics Monitors and Workstations, Input Devices, Hard Copy Devices, Graphics Software. Three-Dimensional Viewing Devices, Stereoscopic & Virtual Reality Systems

8

Module – II

Output Primitives: Points and Lines, Line Drawing Algorithms (DDA and Bresenham’s Algorithms), Loading the Frame Buffer, Circle Generating Algorithm, Filled Area Primitives – Scan-line Polygon Fill Algorithm, Boundary-Fill Algorithm, Flood-Fill Algorithm, Color Tables.

8

Module – III

2D Transformation and Viewing: Basic Transformations, Matrix Representations and Homogeneous Coordinates, Composite Transformations (Translations, Rotations, Scalings), Other Transformations (Reflection and Shear), The Viewing Pipeline, Viewing Coordinate Reference Frame, Window-to- Viewport Coordinate Transformation, Clipping- Point, Cohen-Sutherland Line Clipping and Sutherland- Hodgeman Polygon Clipping.

8

Module – IV

Three-Dimensional Geometric Transformations: Translation, Rotation, Scaling.

8

Module – V

Introduction to Multimedia Systems and Multimedia Components: Multimedia Systems, Multimedia Presentation and Production, Characteristics of Multimedia Presentation, Uses of Multimedia. CD Formats, DVD, DVD Formats. Text and its File Formats, Image Types and File Formats, Fundamental Characteristics of Sound, Audio File Formats, Video, Transmission of Video Signals, Video File Formats.

8

TEXT BOOKS1. HearnD. and BakerM. P., “Computer Graphics: C Version”, 2nd Edition, Pearson

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Education, 2007.2. BufordJ. F. K., “Multimedia Systems”, 1st Edition, Pearson Education, 2005.

REFERENCE BOOKS1. FoleyJ. D., DamA. Van, Feiner S. K. and HughesJ. F., “Computer Graphics:

Principles and Practice in C”, 2nd Edition, Pearson Education, 2000.2. ParekhR., “Principles of Multimedia”, 2nd Edition, Tata McGraw Hill, 2012.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

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1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA303Course Title: COMPUTER NETWORKSPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To build an understanding of the fundamental concepts of the datacommunication model and communications architecture.

B. To study characteristics of communication mediums and the characteristics of signals propagated through different transmission media, includingconcepts of transmission impairments.

C. To understand the basic principles of signal encoding techniques, error- detection, and error-correction techniques.

D. To understand techniques for flow control and multiplexing for maximumutilization of bandwidths in the data communications process.

E. To understand the various switching techniques and routing techniques forefficient transmission.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Understand and be able to explain the principles of a layered protocol architecture; be able to identify and describe the system functions in thecorrect protocol layer and further describe how the layers interact.

CO2 Understand, explain and calculate digital transmission over different types ofcommunication media.

CO3 Understand, explain and solve mathematical problems for data-link andnetwork protocols.

CO4 Describe the principles of access control to shared media and performperformance calculations.

CO5 Understand and explain the principles and protocols for route calculations

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and be able to perform such calculations.SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Network: Needs and Advantages, Network Hardware, Network software, Classification of Networks: LAN, MAN, WAN, Network Topology: Bus, Star, Ring, Star bus, Star ring, Mesh – Features, Advantages and disadvantages of each type.

8

Module – II

Transmission Media: Wired & Wireless transmission, properties & speciality of various media, ConnectivityDevices: Modem, Repeater, NIC, Network adapters, Connectors, Transceiver, Hub, Bridge, Switches, Routers and Gateways,Network Architecture: Layering and Design, OSI Reference Model, TCP/IP Model, SNA

8

Module – III

Physical Layer: Functions and Services, Interface: EIA 232 D Interface, DTE/DCE Interface, Null Modem, Physical Layer Standard. Multiplexing: FDM & TDM

8

Module – IV

Data Link Layer: Functions, Error control: Error Detection and Correction Techniques), Flow Control: Stop and Wait & Sliding Window Flow controls. Protocols: HDLC.Network Layer: Need and Services, Internetworking Principles, Internet Protocol(IPv4), Routing, Congestion Control.

8

Module – V

Local Area Network: Ethernet, Fast Ethernet, Token Rings, FDDI, ATM, IEEE 802 standards: 802.3, 802.4, 802.5Network Security: Network security issues, approaches to network security, hacking. Firewalls: types of firewall technology- network level and application level, limitations of firewalls. Encryption and Decryption (Basic concepts)

8

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TEXT BOOK1. TanenbaumAndrew S, “Computer Networks”, Pearson Education, New Delhi.

REFERENCE BOOKS1. ComerD E, “Computer Networks and Internet”, 2nd Edition, Pearson Education,

NewDelhi.2. GuptaPrakash C, “Data Communication & Computer Networks”, PHI, New Delhi.3. Forouzan B., “Data Communications and Networking”, 3rd edition, Tata

McGraw-Hill Publications.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty2.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

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Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA304Course Title: MANAGEMENT INFORMATION SYSTEMSPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To know the role of Information Systems in Business Today.B. To know what is an Information System.C. To understand how Businesses Use Information Systems:D. To know the basics of Information Systems, Organizations, and Strategy.E. To know the basics of Information Technology and Computers uses in

Management Information Systems.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify the role of Information Systems in Business Today.CO2 Analyse what is an Information System.CO3 Assess Information Systems, Organizations, and Strategy.CO4 Elaborate on the uses Computers and IT in Management Information

Systems.CO5 Apply the impacts of MIS in Business Decision Makings.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Information Systems in Global Business Today:The role of Information System in Business Today, How Information Systems Are Transforming Business, What’s New in Management Information Systems?, Globalization Challenges and Opportunities: A Flatted World, The Emerging Digital Firm, Strategic Business Objectives of Information Systems, Perspectives on Information Systems, What is an Information System?, Dimensions of Information Systems, It Isn’t Just Technology: A Business Perspective on Information Systems.

8

Module – II

E-Business: How Businesses Use Information Systems:Business Processes and Information Systems, Business Processes, How Information Technology Enhances Business Processes, Types of Information Systems, Transaction Processing Systems, Management Information Systems and Decision-Support Systems, Systems That Span the Enterprise, Enterprise Applications, Intranets and Extranets, Collaboration and Communication Systems: “Interaction” Jobs in a Global Economy, E-Business, The Information Systems Function in Business.

8

Module – III

Information Systems, Organizations, and Strategy:Organizations and Information Systems, What Is an Organization?, Features of Organizations, How Information Systems Impact Organizations and Business Firms, Economic Impacts, Organizational and Behavioural Impacts, The Internet and Organizations, Implications for the Design and Understanding of Information Systems, Using Information Systems to Achieve Competitive Advantage, Porter’s Competitive Forces Model.

8

Module – IV

IT Infrastructure and Emerging Technologies:IT Infrastructure, Defining IT Infrastructure, Evolution of IT Infrastructure, Technology Drivers of Infrastructure Evolution, Infrastructure Components, Computer Hardware Platforms, Operating System Platforms, Enterprise Software

8

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Applications, Data Management and Storage, Networking/ Telecommunication Platforms, Internet Platforms, Consulting and System Integration Services, Contemporary Hardware Platform Trends, The Emerging Mobile Digital Platform, Grid Computing, Cloud Computing and the Computing Utility, Autonomic Computing.

Module – V

Enhancing Decision Making:Decision Making and Information Systems, Business Value of Improved Decision Making, Types of Decisions, The Decision Making process, Managers and Decision Making in The Real World, Systems for Decision Support, Management Information System(MIS), Decision-Support Systems(DSS), Web- Based Customer Decision-Support Systems, Group Decision-Support Systems(GDSS), Executive Support Systems(ESS).Case Studies: Two Recent Case Studies to be Discussed Fully Covering the Whole Syllabus.

8

TEXT BOOK1. Laudon K. and Laudon J.,“Management Information Systems”, Prentice Hall Publication.

REFERENCE BOOKS1. Murdick, Ross and Claggett, “Information Systems for Modern Management”, PHI

Publication.2. Jawadekar W. S., “Management Information Systems”, Tata McGraw Hill

Publication.3. GoyalD. P., “Management Information Systems Managerial

Perspectives”, Macmillan India Ltd.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Status of MIS in Indian Industry.2. Effectiveness of MIS: A Case Study.

POs met through Gaps in the Syllabus 2, 3,6

Topics beyond syllabus/Advanced topics/Design 3. MIS design issues.4. MIS Development of an organization.

POs met through Topics beyond syllabus/Advanced topics/Design 1, 2, 3, 6, 7, 8

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

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First Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

Course Code: CA302

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Course Title: COMPUTER GRAPHICS LABPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To learn computer graphics by practical2. To Learn coding for various graphics tools.3. To learn the various theory by implementation using programming4. To identify the limitations of C Language for graphics related problem.5. To know the practical application of computer graphics.

Course Outcomes

After the completion of this course, students will be able to:

CO1 To code programs efficiently.CO2 To translate the graphics algorithm to programs.CO3 To test and execute the graphical syntax and logical errors.CO4 To apply programming to solve simple graphical problems using functions.CO5 To write the C program efficiently for transformation problems.

SYLLABUS

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list of programs as assignments:

write programs using c language

1. To get the background color.2. To set the background color.3. To plot a point of co-ordinate (100,100).4. To draw a line using the line function.5. To draw a line using the line function. take the end co-ordinates from the user.6. To draw a triangle using the polygon function.7. To draw a polygon of ‘n’ edges using polygon function.8. To draw a polygon of ‘n’ edges taken from the user using the polygon function.9. To draw a circle using the circle function.10. To draw a circle of radius ‘r’ taken from the user using the circle function.11. To draw a line using dda algorithm.12. To draw a line using bresenham’s line algorithm.13. To draw a circle using midpoint circle algorithm.14. To draw a line using bresenham’s line algo, where end points are taken from the user.15. To draw a line using dda algo, where end points are taken from the user.16. To draw ‘n’ concentric circles taken from user using midpoint algorithm.17. To create a line and translate it.18. To create a line and increase its size with a value taken from user.19. To create an equilateral triangle.20. To draw a line and rotate it with angle of 45.21. To create a circle and translate it.22. To create a circle and translate it with a value taken from user.23. To create an equilateral triangle and rotate it with angle of 45.24. To create an equilateral triangle and create reflection.25. To scale a rectangle.26. To shear a rectangle. take the shear factor from the user.27. To create an equilateral triangle and translate, rotate and scale it.28. To draw a line with shear and translation.29. Draw bar chart.30. Draw pie chart.

TEXT BOOK1. Roger T. Stevens , Advanced Graphics Programming in C and C++, BPB Publication2. Donald Hearn, M. Pauline Baker, Computer Graphics, C Version, Prentice Hall

Publication3. https://www.programmingsimplified.com/c/graphics.

Gaps in the Syllabus (to meet Industry/Profession requirements)

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POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

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Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA355Course Title: DATA MININGPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: VI/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Understand the need of data mining activities.2. ntify the methods of pre-processing data and performing activates related to

ETL.3. Know the various applications of data mining.4. To familiarize the concepts of Data mining5. To decide what data mining activities are required to obtain the desired

objectives.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify data mining related applications and activitiesCO2 Assess the problem and decide what data mining activities are required to

obtain thedesired objectives.CO3 Mathematically perform pre-processing operations on datasets to ensure

thevalidity of the data is improved.

CO4 Analyse and evaluate algorithms for performing common data miningCO5 Apply Data mining methods for performance and optimization issues

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction: What is data mining? Motivating challenges. The origins of data mining. Data mining tasks. Data: Types of Data. Attributes and Measurement. Types of Data Sets. Data Quality Measurement and Data Collection Issues.

8

Module – II

Measures of Similarity and Dissimilarity: Basics. Similarity and Dissimilarity between Simple Attributes. Dissimilarities between Data Objects. Similarities between Data Objects. Examples of Proximity Measures. Issues in Proximity Calculation. Selecting the Right Proximity Measure.

8

Module – III

Association Analysis: Basic Concepts and Algorithms Preliminaries. Frequent Itemset Generation. The Apriori Principle. Frequent Itemset Generation in the Apriori Algorithm. Candidate Generation and Pruning Support Counting. Rule Generation.

8

Module – IV

Cluster Analysis: Basic Concepts and Algorithms. What Is Cluster Analysis? Different Types of Clustering. Different Types of Clusters. K-means. Basic K-means Algorithm. Basic Agglomerative Hierarchical Clustering Algorithm. Key Issues in Hierarchical Clustering. The DBSCAN Algorithm.

8

Module – V

Classification: Basic Concepts and Techniques. General Framework for Classification. Decision Tree Classifier. A Basic Algorithm to Build a Decision Tree. Methods for Expressing Attribute Test Conditions. Measures for Selecting an Attribute Test Condition. Algorithm for Decision Tree Induction. Characteristics of Decision Tree Classifiers. Model Evaluation.

8

TEXT BOOK1. Tan Pang-Ning, Steinbach Michael, andKumar Vipin , “Introduction to Data

Mining”, Pearson Education, New Delhi.

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REFERENCE BOOKS1. Han Jiawei & Kamber Micheline, “Data Mining Concepts & Techniques”,

Publisher Harcourt India. Private Limited, Second Edition2. Dunham H.M. & Sridhar S., “Data Mining”, Pearson Education, New Delhi, 2006.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Use of massive data to implement all the data mining concepts.2. Interaction with domain knowledge concepts with the actual algorithmic implementation.3. Handling various data using same data mining algorithms.

POs met through Gaps in the Syllabus 1, 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1.Text Mining2.Outlier Mining3. Advanced clustering algorithms

POs met through Topics beyond syllabus/Advanced topics/Design 1, 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3

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CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA356Course Title: DISTRIBUTED COMPUTINGPre-requisite(s): Computer Network, Operating SystemCo- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: VI/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course enables the students to:

A. Know about Different forms of Computing.B. UnderstandInterprocess Communications.C. Learn and understand Distributed Computing Paradigms.D. Know about The Client Server Paradigm.

E. Implement Distributed Objects.

Course OutcomesAfter the completion of this course, students will be able to:

CO1.

Justify the presence of concurrency within the framework of distributedsystem.

CO2 Explain the range of requirements that modern distributed systems have toaddress.

CO3 Describe how the resources in a parallel and distributed system are managed by

softwareCO4 Understand the memory hierarchy and cost-performance trade-offs.CO5 Explain what virtualization is and how it is realized in hardware and

software.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Distributed Computing Concept: Definitions, The history of distributed computing, Different forms of computing, The strengths & weaknesses of distributed computing, Basics of operating systems, Network basics, Software engineering basics. Event synchronization, Timeouts and threading, Deadlocks, Data representation, Data marshalling, Event diagram and sequence diagram, IPv4 & IPv6, Connection – oriented versus connectionless IPC.

8

Module – II

Distributed Computing Paradigms: Paradigms and Abstraction, Message Passing, The Client-Server Paradigm, the Message System Paradigm, Remote Procedure Call Model, RMI, The Distributed Objects Paradigm, The Object space, The Mobile Agent Paradigm.

8

Module – III

The Socket API: The Socket metaphor in IPC, The Datagram Socket API, The Stream-Mode Socket API, Sockets with nonblocking I/O Operations, Secure Socket API.The client server paradigm issuers, connection- oriented and connectionless servers, Iterative server and concurrent server, stateful server and stateless server.

8

Module – IV

Distributed Objects: Remote Procedure Calls, Distributed Objected Systems, Remote Method Invocation, The Java RMI Architecture, The API for the Java RMI, RMI Security Manager, Comparison of RMIRemote Procedure Calls, Distributed Objected Systems, Remote Method Invocation, The Java RMI Architecture, The API for the Java RMI, RMI Security Manager, Comparison of RMI and Socket APIs.

8

Module – V8

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Group Communication: Unicasting versus Multicasting, Multicast API, Connectionless versus Connection-oriented Multicast, Reliable Multicasting versus Unreliable Multicasting, The Java Basic Multicast API.

TEXT BOOK1. Liu M. L., “Distributed Computing: Principles and Application”, Pearson Education, 2008.

REFERENCE BOOK1. AltiyaH., WelchJ., “Distributed Computing Fundamentals, Simulations and

Advanced Topics”, 2nd edition, Wiley – India Edition, 2006.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1.Load balancing has not been addressed.2.RMI technology has not be discussed in detail.

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3

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CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

Course Code: CA360

Course Title: PROJECTCredits: 6

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LIST OF PROGRAM ELECTIVES

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PROGRAM ELECTIVE I (PE I)

Course Code: CA220Course Title: INTERNET TECHNOLOGIESPre-requisite(s): Computer Network and Web TechnologyCo- requisite(s): IT LABCredits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To learn about basics of Internet Technologies.B. Learn XMLC. Learn Server Side Programming.D. Learn Java Servlet.E. Apply Internet based Programming and web applications.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Evaluate and analyse requirements of Internet technologiesCO2 Compare among the existing web based programming conceptsCO3 Create web based application.CO4 Interactive server side application.CO5 Implement dynamic web applications.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Internet Basics: Introduction to Internet, Client Server model, Internet IP Address, Domain Name, Domain Registration, Internet Services, A Brief Overview of TCP/IP and its Services, Hyper Text Transfer Protocol: Introduction, Web Servers and Clients, IP Address, Cyber Laws, URL and its Anatomy, Message format, Testing HTTP Using Telnet, Persistent and Non persistent Connections, Internet Security, Web Caching, Proxy.

10

Module – II

History of HTML and W3C, HTML and its Flavours, HTML Basics, Elements, Attributes and Tags, Basic Tags, Advanced Tags, Frames, Images, Meta Tag, Planning of Web Page, Model and Structure for a Website, Designing Web Pages, Multimedia Content Frames, Cascading Style Sheet:Introduction,Advantages, Adding CSS, Browser Compatibility, CSS and Page Layout, Selectors

10

Module – III

XML Technologies: Common Usage, Role of XML,Prolog,Body, Elements, Attributes, Validation, Displaying XML, Namespace. XML DTD: XML Schema Languages, validation, Introduction to DTD, Purpose of DTD, Using a DTD in an XML Document, Element Type Declaration, Attribute Declaration, Entity Declaration.Parsing XML: XML DOM, DOM Nodes, The Node Interface, Document Node, Element Node, Text Node, Attr Node, Java and DOM

7

Module – IV

Server Side Programming: Servlet : Server –Side JAVA, Advantages Over Applets , Servlet Alternatives , Servlets Strengths , Servlet Architecture, Servlet life Cycle , Generic Servlet and Http Servlet, First Servlet , Passing Parameters to Servlets , Retrieving Parameters , Server side Include , Cookies, Filters, Problems with Servlet, Security Issues , Java Server Pages : Introduction and Marketplace , JSP and HTTP, JSP Engines, How JSP Works , JSP and Servlet, Anatomy of JSP page , JSP Syntax , JSP Components.

8

Module – V

Session Tracking: User Passing Control and Data between Pages, Sharing

5

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Session and Application Data, Data Base Connectivity, JDBC Drivers, Basic Steps, Loading a Driver, Making a connection, Execute an SQLStatement, SQl Statements, Retrieving Result, GettingDatabase Information, Scrollable and Updatable Result Set, Result Set Metadata.

Text Books:1. RoyUttam K., “Web Technology”, Oxford University Press.

Reference Books: 1. EtalXue Bai, “The Web Warrior Guide to Web Programming”, Thomson Learning, 2003.2. XavierC., “Web Technology & Design”, New Age International Publishers, 1st Edn, New

Delhi, 2004.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA221Course Title: INTERNET TECHNOLOGIES LABPre-requisite(s): Co- requisite(s): Problem Solving And Programming In Html, Xml. Servlet , JspCredits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To learn client side web programming2. To Learn GUI design at client side3. To learn the concept of web server4. To know the server side web programming5. To know the practical application of various server side programming techniques.

Course Outcomes

After the completion of this course, students will be able to:

CO1 To formulate client side HTML programmingCO2 To formulate XML web based applicationsCO3 To configure web serverCO4 To apply programming concept to develop server side applicationsCO5 To formulate server side applications to bind data bases.

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SYLLABUS

List of Programs as Assignments:

1. Create a simple html file to demonstrate the use of different heading tags.2. Create a simple html file to demonstrate different types of list.3. Create a simple html file to create a table containing marks of 5 subjects of 10 students.4. Design a html form for reserving a room in a hotel.5. Create a html page with different types of frames such as floating frame, navigation frame &

mixed frame.6. Create a html form to find the railway fare from one place to another.7. Create an XML structure with elements and attributes for Library information system.8. Create an XML structure with elements and attributes for railway reservation system.9. Create an XML document for student information system. Create a DTD and link the DTD to the

XML document.10. Create an XML document for employee information system. Create a DTD and link the DTD to

the XML document11. Create an XML schema for an XML file, which contains information about books that are

available in the library.12. Write a Servlet Program that displays server information (server name, port etc.).13. Create a servlet program to retrieve the values entered in the html file.14. Create a servlet program that takes your name and address from a HTML Form and displays it.15. Write a program to show inter servlet communication between two servlets.16. Create a simple servlet program to display the date and time.17. Write a JSP program to output, "Welcome to JSP world."

18.Write a JSP page to display current time.18. Write a JSP page that display a randomly generated number in first visit to this page and repeat

displaying this same number in subsequent visits.19. Write a JSP page to display current date.20. Write a JSP page using <jsp:forward> to go to a servlet program which displays your name, date

of birth and address.21. Create a HTML form to take customer information (Name, Address, Mobile No.). Write a JSP

program to validate this information of customers.22. Write a jsp program to display student records stored in the database.23. Create a form to record student details and store it into the database using jsp.24. Write a program, using servlet and JDBC which takes students roll number and provides student

information, which includes the name of the student, address, email-id, program of study, and25. year of admission. You have to use a database to store student’s information.26. Write program of Q25. with login and password protection. Display a message if login and

password are not correctly given.27. Create a database of students. Write a program using jsp to display the name, course, semester for

those students who have more than 3 backlogs.

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28. Create a database of students who are in the 5th Semester of the BCA. Write a program using JSP and JDBC to display the name and address of those students who are born after 1995.

29. Write a program using servlet and JDBC for developing an online application for the shopping of computer science books. You have to create a database for book title, author(s) of book, publisher, year of publication, price. Make necessary assumptions for book shopping.

30. Develop an application that collects/maintains the product information of an electronics goods production company in a database. Write a JSP page to retrieve information from the database on demand. Make necessary assumptions to develop this application.

Books recommended:

TEXT BOOK

1. Deitel,. P.J. Deitel, H.M. "Internet & World Wide Web How to Program", Pearson International Edition, 4th Edition.

REFERENCE BOOKS1. Xavier C., “Web Technology & Design”, New Age International Publishers, 1st Edn, New Delhi, 2004.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA222Course Title: MOBILE APPLICATIONPre-requisite(s): COMPUTER NETWORK, OPERATING SYSTEMSCo- requisite(s): NONECredits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: III/2Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To know about the mobile architecture with its different tires2. To know the mobile infrastructure and its components3. To adopt existing application and mobilizing and upgrading them for further use.4. To learn to compare mobile and native applications5. To gain knowledge of different architecture.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Be competent with the characterization and architecture of mobile applications.CO2 Be competent with understanding enterprise scale requirements of mobile

applicationsCO3 Be competent with designing and developing mobile applications. CO4 Be competent with comparatively evaluating the capabilitiesCO5 Be exposed to technology and business trends impacting mobile applications

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction, Developing Mobile Applications, Going Mobile, People Perspective, Mobilizing the Enterprise.

8

Module – II

Mobile Application Architectures, Client-Server layers and Tires, Client thin and fat & web page Hosting, Server one, two and three tire architecture, Connection type with always, partially and never connect, Good Architectural Design Tenets

8

Module – III

Mobile Infrastructure, Mobile Device Types, Mobile Device Components, Connection Methods

8

Module – IV

Mobile Client Applications, Thin Client, Fat Client, Web Page Hosting, Best Practices

8

Module – V

Mobilizing existing application architectures. Evolution of Enterprise Architectures, Anatomy of Enterprise Web Architecture, Considerations When Mobilizing Existing Applications, Types of Mobile Applications, Mobile Web Apps Versus Native Applications, Mobile Web Apps Versus Native Applications, Mobile 2.0

8

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Text Books:1. SchellRobbie, SchneiderHeather, LeeValentino, “Mobile Applications: Architecture, Design, and Development”, Prentice Hall 2004. 2. FlingBrian, “Mobile Design and Development”, O'Reilly Media, 2009.

Reference Books: 1. McWherterJeff, GowellScott, “Professional Mobile Application Development”, John Wiley & Sons 2012.

Gaps in the Syllabus (to meet Industry/Profession requirements)

1.On-demand development apps

2.Motion and Location sensing

3. Application performance management

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. to promote efficiency through artificial intelligence

2. Surge of On-demand Apps

3. Integration of Wearable Apps

4. Real –time interaction between the service provider and customers.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

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Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 3 2 3CO2 3 3 3 1 3 1 1 1 2 2 3 3CO3 3 3 3 3 3 1 2 2 1 1 2 3 2 3CO4 3 3 3 1 3 1 1 1 1 2 2 3 3CO5 3 3 3 3 3 1 1 1 1 1 1 2 3 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9

CD3 Seminars CO3CD1, CD2 and CD3

CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

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CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVE II (PEI II)

Course Code: CA 223

Course Title: ECOMMERCE TECHNOLOGYPre-requisite(s): General Idea of Computer Network & Internet Technology.Co- requisite(s): Credits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To know the basics of E - commerce .B. To understand Electronic Data InterchangeC. To understand Security Issues of E- CommerceD. To understand Electronic Payment systems.E. To understand Internet Advertising

Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to learn E- Commerce perspectives.CO2 Able to learn Electronic Data Interchange.CO3 Able to learn Security majors of E- Commerce.CO4 Able to Manage & Learn Electronic Payment system.CO5 Able to use & Manage Internet Advertisements.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction to E- Commerce: What is E- Commerce, Impact of E- Commerce, Classification of E- Commerce, Application of E- Commerce technologies, E- Commerce Business Models, Frame work of V E- Commerce.

8

Module – II

Electronic Data Interchange (EDI): Conventional Trading process, what is EDI, Building Blocks of EDI Systems, Layered Architecture, value added networks, Benefits of EDI, Application of EDI.

8

Module – III

E- Commerce – Securing Business & Network Transactions: Why Information on Internet Is Vulnerable?, Security Policy, Procedures & Practices, Site Security, Transaction Security, cryptology, Cryptographic algorithms, Public Key Algorithms, Authentication Protocols, Digital signature, Electronic Mail security, Security Protocols for Web Commerce

8

Module – IV

Electronic Payment Systems: Introduction to Payment systems, Online Payment System, Prepaid Payment systems, Post Paid Payment Systems, Requirements metrics of a payment system.

8

Module – V

Internet Advertising: Emergence of the Internet as a Competitive Advertising Media, Models of Internet Advertising, Banner Advertisements, Sponsoring content, Screen Savers & Push Broadcasting, Corporate website, Interstitials, SuperStitials, Opt-in’s, Weaknesses in Internet Advertising.

8

TEXT BOOK1. BhaskarBharat, “Electronic Commerce – Frame work, Technologies and Applications”, Tata

Mcgrow Hill, New Delhi.

REFERENCE BOOK1. WhiteleyDavid, “E- Commerce Strategy, Technologies applications”, TMH, New Delhi.2. TurbanIrfan, Dennis veehland, David King, Joe lee, “E- Commerce – A Managerial

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Perspective”, Pearson Education Asia.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. E-Commerce business models.2. Building an E-Commerce Web Site.3. Ethical, Social, and Political Issues in E-Commerce.

POs met through Gaps in the Syllabus 1,3,5,6

Topics beyond syllabus/Advanced topics/Design 1. Online Retailing and Services.2. Online content and media.

POs met through Topics beyond syllabus/Advanced topics/Design 1,3,7

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1.Student Feedback on Faculty

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

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Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA271Course Title: Soft Computing and ApplicationsPre-requisite(s): Co- requisite(s): NoneCredits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: IV/2 Branch: BCA Name of Teacher:

Course Objectives

This course envisions to impart to students to:

1 To understand the concept of fuzzy logic and controllers.

2. To understand the various architectures of ANN and its learning methods.

3. To learn about basic concepts of genetic algorithm and its operators.

4. To understand the Artificial Neural Networks.

5. To understand the Genetic Algorithms.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Solve numerical on Fuzzy sets and Fuzzy Reasoning.

CO2 Develop Fuzzy Inference System (FIS).

CO3 Solve problems on Genetic Algorithms

CO4 Explain concepts of neural networks

CO5 Develop neural networks models for various applications.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Fuzzy Set Theory: Basic Definition and Terminology, Set Theoretic Operations, Fuzzy types and levels, MF Formulation and Parameterization, MF of two dimensions, Fuzzy Union, Intersection and Complement, Fuzzy Number, Fuzzy measure.

8

Module – II

Fuzzy Logic: Fuzzy Rules and Fuzzy Reasoning: Extension Principles and Fuzzy Relations, Fuzzy IF THEN Rules, Defuzzification, Fuzzy Reasoning. Fuzzy Inference System: Introduction, Mamdani Fuzzy Models, Other Variants, Sugeno Fuzzy Models, Tsukamoto Fuzzy Models.

8

Module – III

Fundamentals of Genetic Algorithms: Basic Concepts, Creation of Offsprings, Encoding, Fitness Functions, Reproduction, Genetic Modelling: Inheritance Operators, Cross over, Inversion and detection, Mutation operator, Bitwise operators.

8

Module – IV

Introduction to Artificial Neural Networks: What is a Neural Network? Human Brain, Models of Neuron, Neural Network viewed as Directed Graphs, Feedback, Network Architecture, Knowledge Representation, Learning processes:(Error correction, Memory-Based, Hebbian , Competitive, Boltzman ,Supervised,Unsupervised),Memory,Adaptation.

8

Module – V

Perceptrons, Adaline, Back Propagation Algorithm, Methods of Speeding, Convolution Networks, Radical Basis Function Networks, Covers Theorem, Interpolation Learning, The Hopfield Network.

8

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Text Books:1. Jang J.S.R., Sun C.T. and Mizutani E., “Neuro-Fuzzy and Soft Computing” PHI/Pearson Education, New Delhi, 2004. 2. Rajasekaran S. & Vijayalakshmi, G.A. Pai, "Neural Networks, Fuzzy Logic, and Genetic Algorithms: Synthesis and Applications”, PHI, New Delhi, 2003. 3. Ross T. J., “Fuzzy Logic with Engineering Applications”, TMH, New York, 1997. 4. Haykins Simon, “Neural Networks:A Comprehensive Foundation”, Pearson Education,2002.

Reference Books: 1. Ray K.S., “Soft Computing and Its application”, Vol 1, Apple Academic Press.2015. 2. Lee K.H., “First Course on Fuzzy Theory and App.”, Adv in Soft Computing Spinger.2005. 3. Zimmermann H.Z., “Fuzzy Set Theory and its App”, 4thEdition, Spinger Science,2001.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Application of soft computing to develop and design the adaptive controllers.2. Application of fuzzy inference system for prediction and modelling to complex problems.

POs met through Gaps in the Syllabus 3, 5

Topics beyond syllabus/Advanced topics/Design 1. Concepts and features of hard computing and soft computing.2. NN- controller for an intelligent and autonomous robot.3. Merits and Demerits of soft computing tools.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 5

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA272Course Title: Soft Computing LABPre-requisite(s): Co- requisite(s): NoneCredits: 2 L: 0 T: 0 P: 4Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To understand the concept of fuzzy logic and controllers.

2. To understand the various architectures of ANN and its learning methods.

3. To learn about basic concepts of genetic algorithm and its operators.

4. To understand the Artificial Neural Networks.

5. To understand the Genetic Algorithms.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Solve numerical on Fuzzy sets and Fuzzy Reasoning.

CO2 Develop Fuzzy Inference System (FIS).

CO3 Solve problems on Genetic Algorithms

CO4 Explain concepts of neural networks

CO5 Develop neural networks models for various applications.

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SYLLABUS

QUESTIONS

1. Implementation of Fuzzy Operations.

2. Implementation of Fuzzy Relations (Max-min Composition).

3. To implement De-Morgan’s Law.

4. To plot various membership functions.

5. To implement FIS Editor.

6. Implementation of Fuzzy Controller (Washing Machine).

7. Implementation of Perceptron Learning Algorithm.

8. Implementation of Unsupervised Learning Algorithm.

9. Implementation of Simple Genetic Application.

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Text Books:1. Jang J.S.R., Sun C.T. and Mizutani E., “Neuro-Fuzzy and Soft Computing” PHI/Pearson Education, New Delhi, 2004. 2. Rajasekaran S. & Vijayalakshmi, G.A. Pai, "Neural Networks, Fuzzy Logic, and Genetic Algorithms: Synthesis and Applications”, PHI, New Delhi, 2003. 3. Ross T. J., “Fuzzy Logic with Engineering Applications”, TMH, New York, 1997. 4. Haykins Simon, “Neural Networks:A Comprehensive Foundation”, Pearson Education,2002.

Reference Books: 1. Ray K.S., “Soft Computing and Its application”, Vol 1, Apple Academic Press.2015. 2. Lee K.H., “First Course on Fuzzy Theory and App.”, Adv in Soft Computing Spinger.2005. 3. Zimmermann H.Z., “Fuzzy Set Theory and its App”, 4thEdition, Spinger Science,2001.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Application of soft computing to develop and design the adaptive controllers.2. Application of fuzzy inference system for prediction and modelling to complex problems.

POs met through Gaps in the Syllabus 3, 5

Topics beyond syllabus/Advanced topics/Design 1. Concepts and features of hard computing and soft computing.2. NN- controller for an intelligent and autonomous robot.3. Merits and Demerits of soft computing tools.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 5

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

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Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA273Course Title: Data AnalyticsPre-requisite(s): Basic Programming Co- requisite(s):Credits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Understand business intelligence and data analytics.2. To understand the methods of pre-processing data and performing activates related to

data analytics.3. Know the various applications of data analysis.4. Know the business data analysis through the powerful tools of data

analytics.5. To decide what data analysis techniques are required to obtain the desired

objectives.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Illustrate about business intelligence and data analytics.CO2 Explore different aspects of data analysis technologies.CO3 Elaborate the methods of data mining and creation of decision tree.CO4 Implement data analysis through the powerful tools of data application.CO5 Apply R to implement various data analytics.

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SYLLABUS

MODULE(NO. OF LECTURE HOURS)

Module – IAnalysis using Descriptive and Pictorial Statistics: mean, median, mode, harmonic mean, geometric mean, variance and standard deviation, quantiles, skewness, moments and kurtosis. Data Visualization: Summery table, Contingency table, Bar plot, Pie chart, Frequency distribution, Relative frequency distribution, Cumulative frequency distribution, Histogram, Frequency polygon, Cumulative frequency graphs, Box plot, Time series plot, Scatter diagram.

10

Module – II Data Relationships, Transformation, and Data Cleaning: Relationships between different types of data: Relationship between two categorical data, Relationship between categorical and quantitative data, Relationship between two quantitative data Transformation: The logarithm transformation, Root andsquare root transformation Standardization (Z-transformation), Min-max normalization. Data cleaning: missing values, noisy data.

10

Module – IIIAnalysis using Inferential Statistics: Sampling, Sampling Distribution, and Estimation of Parameters, Sampling distribution of: means, proportions, difference of means, difference of proportions. Hypothesis testing about: population mean, the difference between two means, about a population proportion, difference between two proportions.

10

Module – IVSocial Network and Text Data Analysis: What is a social network? Characteristics of social network. Link mining: Tasks and challenges. Mining on social networks. Text data analysis and informational retrieval. Dimensional reduction for text.

5

Module – VOutlier Analysis: Outlier detection based on: statistical distribution, distance based, deviation based.

5

Text Books:1. Gupta and Gupta, “Business Statistics”, Sultan Chand and Sons, 2014.2. Bishnu and Bhattacherjee, Data Analysis: Using Statistics and Probability with R Language, PHI

Learning, 2019.3. Han J and Kamber M, “Data Mining: Concepts and techniques”, Morgan Kaufmann Publishers.

Reference Books:

1. Maheshwari Anil, “Data Analytics”, Mc Graw hill publication, 2017.2. TanPang-Ning, SteinbachMichael, and KumarVipin, “Introduction to Data Mining, Pearson

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Education”, New Delhi.Dunham 3. H.M. & Sridhar S., “Data Mining”, Pearson Education, New Delhi, 2006.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Use of various data to implement all the data analysis concepts.2. Interaction with domain knowledge concepts with the actual algorithmic implementation.3. Handling real data using data analytics algorithms.

POs met through Gaps in the Syllabus 1, 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Data analysis using clustering2. Panel data analysis, conjoint data analysis, logistic regression3. Data analysis on domain specific data.

POs met through Topics beyond syllabus/Advanced topics/Design 1, 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 1 3 3 1 3 1 1 1 2 2 2 3CO2 3 2 3 1 3 3 1 1 2 3 2 2CO3 1 3 3 3 3 1 2 2 1 1 2 2 2 2CO4 3 2 2 1 3 1 1 1 1 2 2 3 2

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CO5 1 3 3 3 3 1 1 1 1 1 1 2 2 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD2, CD 4CD2 Tutorials/Assignments CO2 CD1 and CD4CD3 Seminars CO3 CD1, and CD8CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA274Course Title: Data analytics using R Language LabPre-requisite(s): Basic Programming Co- requisite(s):Credits: 2 L: 0 T: 0 P: 4Class schedule per week: 04Class: BCASemester / Level: IV/2Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:1 To know details about the R Language.2 Understand Applications, advantages and limitations of various data types.3 Real life use of data analytics using R Language.4 Doing projects on data analytics using R Language.5 Use R as a tool to develop latest know-how related to the subject.

Course Outcomes

After the completion of this course, students will be able to:CO1 Basic concepts of R programming.CO2 Classify features of R programming and skills for various data analytic tool.CO3 Apply the knowledge gained for their project work as well as to develop some

statistical applications.CO4 Implement R for various data analytics applications.CO5 Devised R based projects on data analytics.

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SYLLABUS

MODULE(NO. OF LECTURE HOURS)

Module – I1. Mean, median, mode. 2. Harmonic mean, geometric mean. 3. Variance and standard deviation. 4. Quantiles, Percentile. 5. Skewness. 6. Moments. 7. kurtosis.

8

Module – II 8. Summery table, contingency table. 9. Frequency distribution, relative frequency distribution, cumulative frequency distribution. 10 Histogram, frequency polygon, cumulative frequency graphs, 11 Satter diagram. 12. Pie chart (2 D and 3 D) and bar plot (stacked and side by side). 13. Time series plot.

8

Module – III14. Relationships between different types of data: Relationship between two categorical data. 15. Relationship between categorical and quantitative data. 16. Relationship between two quantitative data Transformation. 17. Logarithm transformation, Root and square root transformation. 18. Z-transformation 19. Min-max normalization.

8

Module – IV20. Sampling distribution of: means. 21. Sampling distribution of: proportions. 22. Sampling distribution of: difference of means. 23. Sampling distribution of: difference of proportions.

8

Module – V24. Hypothesis testing about: population mean. 25. Hypothesis testing about: the difference between two means. 26. Hypothesis testing about: a population proportion. 27. Hypothesis testing about: difference between two proportions. 28. Identification of outlier data using scatter plot and regression line. 29. Identification of outlier data using quartiles. 30. Identification of outlier data using box plot.

8

Text Books:1. Jared P. Lander, R for Everyone: Advanced Analytics and Graphics, Addison-Wesley Professional,

2017.2. Bishnu, Partha Sarathi, Bhattacherjee, Vandana, Data Analysis : Using Statistics and Probability with R

Language, PHI Learning, 2019.

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Reference Books: 1. Mark Gardener, Beginning R: The Statistical Programming Language, O’Reilly.2. Hadley Wickham and , R for Data Science: Import, Tidy, Transform, Visualize, and Model Data,

O'Reilly.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Use of massive data to implement all the data analytics concepts using R.2. Interaction with domain knowledge with the actual algorithmic implementation using R language3. Handling various data using same data analytics algorithms.

POs met through Gaps in the Syllabus 1, 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Implementation of Big data using R2. Implementation of data mining using R3. Implementation advanced graphical tools.

POs met through Topics beyond syllabus/Advanced topics/Design 1, 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentDay to day performance & Lab files 30First Quiz 10Viva 20Examination Experiment Performance 30Second Quiz 10

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 2 3

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CO2 3 1 3 1 3 3 1 1 2 2 3 3CO3 3 3 3 3 3 1 2 2 1 1 2 3 3 2CO4 3 2 2 1 3 1 1 1 1 2 2 2 2CO5 1 3 3 3 3 1 1 1 1 1 1 2 3 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD2, CD 4CD2 Tutorials/Assignments CO2 CD1 and CD4CD3 Seminars CO3 CD1, and CD8CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVE III (PEI III)

Course Code: CA224Course Title: CLOUD COMPUTINGPre-requisite(s): Computer Network, Operating SystemCo- requisite(s): Credits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: V/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. To understand software, and other shared resources to be provisioned overthe network as services in an on-demand manner.

B. To understand the cloud computing models.C. To understand the different types of cloud computing services namely,

Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS).

D. To understand virtualization, security and privacy issues.E. To understand Cloud OS, federated clouds.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify the current practices in cloud computing.CO2 Analyse the challenges in implementing clouds, data centers, hypervisor

CPU and memory managementCO3 Elaborate cloud hosted applications, and other advanced and research topics

in cloud computingCO4 Evaluate the performance and systems issues, capacity planning, disaster

recovery.CO5 Summarize the cloud computing facilities and current technologies.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Cloud Computing at a glance, Distributed Systems, Virtualization, Web 2.0,over the Internet.

8

Module – II

Eras of Computing, Elements of Distributed Computing, Concepts of Virtualization and its characteristics, Virtualization and cloud computing, cloud reference model, types of clouds, economics of the cloud.

8

Module – III

Cloud Interoperability and standards:Amazon Web Services: Compute Services, Storage Services, Communication Services. Google AppEngine: Architectural and Core Concepts, Application Life-Cycle, Cost Model.Microsoft Azure: Azure Core Concepts, SQL Azure.

8

Module – IV

Energy-Efficiency in clouds, Energy-Efficient and Green Cloud Computing Architecture, Market- Oriented Cloud Computing, Federated clouds: characterization and definition, cloud federation stack.Cloud Security and Trust Management: Cloud Security Defense Strategies.

8

Module – V

Application of clouds in: Health care, Biology, CRM, ERP, Social Networking, Productivity and Geoscience. Cloudlets for Mobile Cloud Computing.

8

TEXT BOOK1. BuyyaRajkumar, Charles, VecchiolaChristian amd SelviS. Thamarai “Mastering Cloud

Computing”, McGraw Hill Education(India) Private Limited, 2013.

REFERENCE BOOK1. HwangKai, FoxGeoffrey C., DongarraJack J., “Distributed and Cloud Computing from Parallel

Processing to the Internet of Things”, Morgan Kaufmann - India Edition, 2012.

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POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

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Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA275

Course Title: ANDROID PROGRAMMINGPre-requisite(s): Co- requisite(s): Computer Network, Operating SystemCredits: 4 L:3 T:1 P:0Class schedule per week: 04Class: BCASemester / Level: V/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Develop app for digital devices.2. Learn real time app.3. Apply skill on real time applications.4. Understand the logic and challenges of Android programming.5. Integrate Java and android to develop game and applications for different

industries.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Define app requirements for digital devices.CO2 Classify the constraints in developing real time app.CO3 Apply skill on real time applications.CO4 Evaluate the logic and challenges of Android programming.CO5 Develop and Integrate Java and android to develop game and applications

for different industries.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I What is Android? Android EcoSystem, Features of Android, Architecture of Android, Android Verson,Android SDK, Android Development tools, Anatomy of an Android Application.

8

Module – II

Android User Interface: Linear Layout, Absolute Layout, Frame Layout, Relative Layout, Table Layout.

8

Module – III

Designing User Interface with View: Text View, Push Button, Image Button, Edit Text, Checkbox, ToggleButton, Radio Button, ProgressBar, Spinner, List View, Gridview, Time and Date Picker.

8

Module – IV

Displaying Pictures and Menus with Views: Gallery Views,ImageSwitcher, GridView, Options Menu, Context Menu, DigitalClock View, Webview.SMS Messaging: Sending SMS Messages Programmatically.

8

Module – V

SQLITE Database in Android: SQLite Database, Creation and connection of the database, extracting values from a curser.

8

TEXT BOOK1. DixitPrashant Kumar, “Android”, Vikas Publishing House Pvt. Ltd, 1stEdition, 2014.

REFERENCE BOOK1. LeeWei-Meng, “Beginning Android for Application Development”, Wiley, Indian Edition.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Not interfacing with remote cloud storage

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2. Not interfacing with computing Fog layerPOs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9

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CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA 276

Course title: Android Programming LabPre-requisite(s): Co- requisite(s):Credits: 2 L: 0 T: 0 P: 4 Class schedule per week: 04Class: BCA Semester / Level: V/2 Branch: Bachelor of Computer Applications Name of Teacher:

Course Objectives

This course enables the students to:

1 Develop app for Android Based Mobile.2 Understand the pros and cons of Android programming.3 Understanding different App development platforms.4 Learn the concept of real time app development.5 Integrate different types of files and android to develop applications for

different industries.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Develop app for different android based devices. CO2 Understand constraints to develop apps on android platform. CO3 Develop real time applications.CO4 Integrate different types of files with Android.CO5 Develop database application on Android platform.

SYLLABUS

List of Programs as Assignments:

1. Write a program using Android Developer Studio/Eclipse to generate Frame Layout.2. Write a program using Android Developer Studio/Eclipse to generate button with content “My Button”.3. Write a program using Android Developer Studio/Eclipse to generate three buttons with content “First”,

“Second”, “Third” and then orient them along row wise.

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4. Write a program using Android Developer Studio/Eclipse to generate three buttons with content “First”, “Second”, “Third” and then orient them along column wise.

5. Write a program using Android Developer Studio/Eclipse to create Text-View to accept user name. 6. Write a program using Android Developer Studio/Eclipse to generate the following Table Layout

Roll Number

Name

7. Write a program using Android Developer Studio/Eclipse to generate the following Table Layout

Login Id

Password

8. Write a program using Android Developer Studio/Eclipse to implement Check_box.9. Write a program using Android Developer Studio/Eclipse to implement Radio_Button.10. Write a program using Android Developer Studio/Eclipse to import image to Frame Layout.11. Write a program using Android Developer Studio/Eclipse to display an option Menu.12. Write a program using Android Developer Studio/Eclipse to generate Analog Clock.13. Write a program using Android Developer Studio/Eclipse to generate Digital Clock14. Write a program using Android Developer Studio/Eclipse to load URL “google.com”.15. Write a program using Android Developer Studio/Eclipse to load URL “bitmesra.ac.in”16. Write a program using Android Developer Studio/Eclipse to accept a mobile number and then send sms

“Welcome”.17. Write a program using Android Developer Studio/Eclipse to implement Context Menu.18. Write a program using Android Developer Studio/Eclipse to display current date.19. Create a SQLITE database Employee and Make a form in Android Studio/Eclipse to allow data entry to

Employee Form with the following command buttons:

Employee Id

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Submit

Save

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Employee Name

Address

Date of Joining

20. Create a SQLITE database Student and Make a form in Android Studio/Eclipse to allow data entry to Student Form with the following command buttons:

Roll No

Name

Text Books:1. DixitPrashant Kumar, “Android”, Vikas Publishing House Pvt. Ltd, 1 st Edition,2014.

Reference Books:

Programming Android, 2nd Edition, Zigurd Mednieks, Blake Meike, Laird Dornin, Masumi Nakamura,

O'Reilly Media, October 2012

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 5

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20

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Cancel

Submit

Cancel

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Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA277Course title: Python ProgrammingPre-requisite(s): NilCo- requisite(s): CA 278 Python Programming LabCredits: 4 L: 3 T: 1 P: 0 Class schedule per week: 04 Class: BCA Semester / Level: V/2Branch: BCA

Course Objectives This course enables the students to:

A. Understand computer programming concept using python language B. Explore basic data types, control structures and standard library functions.C. Explore the basic data structures: List, Tuple, Sets, Dictionaries available in pythonD Learning Object oriented concept of programming and its implementation in python.E. Handle disk data file for input output operations.

Course Outcomes After the completion of this course, students will be able to:

CO1 Solve the basic mathematical problem using python programmingCO2 Use basic data types control structures and utility functions from standard library for

faster programming.CO3 Use the basic and user defined data structures as per the need of problem.CO4 Design and implement the problem using OOP concept of python.CO5 Store, retrieve and manipulate data with disk file.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction to Computers, Programs, and Python:Introduction,Programming Languages, Operating Systems, The History of Python, Features of python language, Getting Started with Python, Programming Style and Documentation, Programming Errors.

Elementary Programming:Introduction, Writing a Simple Program, Reading Input from the Console, Identifiers,Variables, Assignment Statements, and Expressions, Simultaneous Assignments, Named Constants, Numeric Data Types and Operators, Evaluating Expressions and Operator Precedence, Augmented Assignment Operators, Type Conversions and Rounding.

8

Module – II

Mathematical Functions, Strings,and Objects: Introduction, Common Python Functions, Strings and Characters, Introduction to Objects and Methods, Formatting Numbers and Strings.

Control Structures: Selections:Introduction, Boolean Types, Values, and Expressions,if Statements, Two-Way if-else Statements, Nested if and Multi-Way if-elif-else Statements, Logical Operators, Conditional Expressions, Loops: Introduction, The while Loop, The for Loop, Nested Loops,Keywords break and continue

8

Module – III

Functions: Introduction, Defining a Function, Calling a Function, Functions with/without Return Values, Positional and Keyword Arguments, Passing Arguments by Reference Values, Modularizing code, The Scope of Variables, Default Arguments, Returning Multiple Values.

Lists:Introduction, List Basics, Copying Lists, Passing Lists to Functions, Returning a List from a Function, Searching Lists, Sorting, Processing Two-Dimensional Lists, Passing Two-Dimensional Lists to Functions, Multidimensional Lists.

8

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Module – IV

Tuples, Sets, and Dictionaries: Introduction, Tuples: Creating Tuples, Basic Tuple Operations, Indexing and Slicing in Tuples, Tuple methods, Sets: Creating Sets, Manipulating and Accessing Sets, Subset and Superset, Set Operations, Comparing the Performance of Sets and Lists, Dictionaries: Creating a Dictionary, Adding, Modifying, and Retrieving Values, Deleting Items, Looping Items, The Dictionary Methods..

8

Module – V

Objects and Classes: Introduction, Defining Classes for Objects, Immutable Objects vs. Mutable Objects, Hiding Data Fields, Class Abstraction and Encapsulation, Object-Oriented Thinking.Inheritance and Polymorphism: Introduction, Superclasses and Subclasses, Overriding Methods, The object Class, Polymorphism and Dynamic Binding, The isinstanceFunction. Class Relationships: Association, Aggregation, composition.

Files and Exception Handling:Introduction, text input and ouput: opening a file, Writing Data, Testing a File’s Existence, Reading All Data from a File, Writing and Reading Numeric Data, Binary IO Using Pickling, Exception Handling, Raising Exceptions.

8

TEXT BOOK 1. Y. Daniel Liang, “Introduction to programming using python”, Pearson Education; First edition (2017).

REFERENCE BOOK 1. Martin C. Brown, “Python: The Complete Reference”, McGraw Hill Education; Forth edition (2018)2. Mark Lutz,  “Learning Python” O′Reilly Fifth edition (2013)3. Mark Summerfield, “Programming in Python 3: A Complete Introduction to the Python Language”

Pearson Education; Second edition (2018)

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POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment  

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8

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CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA 278Course title: Python Programming Lab.Pre-requisite(s): NoCo- requisite(s): CA277 Python Programming.Credits: 2 L: 0 T: 0 P: 4Class schedule per week: 04Class: BCASemester / Level: V/2Branch: BCA

Name of Teacher:

Course Objectives This course enables the students to:

1. Understand computer programming concept using python language

2. Explore basic data types, control structures and standrard library functions.

3. Explore the basic data structures: List, Tuple, Sets, Dictionaries available in python

4. Learning Object oriented concept of programming and its implementation in python.

5. Handle disk data file for input output operations.

Course OutcomesAfter the completion of this course, students will be able:

CO1 Solve the basic mathematical problem using python programming

CO2 Use basic data types control structures and utility functions from standard library for faster programming.

CO3 Use the basic and user defined data structures as per the need of problem.

CO4 Design and implement the problem using OOP concept of python.

CO5 Store, retrieve and manipulate data with disk file.

SYLLABUS

List of Programs as Assignments:

1. Write a program that displays “Hello to Python programming”.

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(addition, subtraction, multiplication and division).

3. Write a program to read the marks of three subjects and find the average of them.

4. Surface area of a prism can be calculated if the lengths of the three sides are known. Write a program that takes the sides as input (read it as integer) and prints the surface area of the prism (Surface Area = 2ab + 2bc + 2ca)

5. A plane travels 395,000 meters in 9000 seconds. Write a program to find the speed of the plane (Speed = Distance / Time).

6. You need to empty out the rectangular swimming pool which is 12 meters long, 7 meters wide and 2 meter depth. You have a pump which can move 17 cubic meters of water in an hour. Write a program to find how long it will take to empty your pool? (Volume = l * w * h, and flow = volume/time).

7. Write a program to convert temperature from centigrade (read it as float value) to Fahrenheit.

8. A car starts from a stoplight and is traveling with a velocity of 10 m/sec east in 20 seconds. Write a program to find the acceleration of the car. [acc = (Vfinal−Vinitial)/Time].

9. Write a Program to Prompt for a Score between 0.0 and 1.0. If the Score Is Out of Range, Print an Error. If the Score Is between 0.0 and 1.0, Print a Grade Using the Following Table

10. Write a Program to find the maximum of three numbers.

11. Suppose you want to develop a program to play a lottery. The program randomly generates a two-digit number, prompts the user to enter a two-digit number, and determines whether the user wins according to the following rules:a) If the user’s input matches the lottery in the exact order, the award is $10,000.b) If all the digits in the user’s input match all the digits in the lottery number, the award is $3,000.c) If one digit in the user’s input matches a digit in the lottery number, the award is $1,000.

12. Write a Program to Check If a Given Year Is a Leap Year.

13. Program to Find the GCD of Two Positive Numbers.

14. Write a program that prompts the user to enter a four-digit integer and displays the number in reverse order.

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15. Write Python Program to Find the Sum of Digits in a Number

16. Write a program to print the sum of the following series.a) 1 + 1/2 + 1/3 +. …. + 1/nb) 1/1 + 22/2 + 33/3 + ……. + nn/n

17. Write a Program to Display the Fibonacci Sequences up to nth Term Where n is Provided by the User.

18. Write a Program to Find the Sum of All Odd and Even Numbers up to a Number Specified by the User.

19. Write a Program to Check Whether a Number Is Prime or Not.

20. Write a Program to Find the Factorial of a Number.

21. Write a Program to Demonstrate the Return of Multiple Values from a Function Definition.

22. Program to Demonstrate the Use of Default Parameters

23. Write Program to Demonstrate the Scope of Variables.

24. Program to Print the Characters Which Are Common in Two Strings.

25. Write a program to check whether a given String is palindrome or not.

26. Write Python Program to Count the Number of Times an Item appears in the List.

27. Write a program to create a list of integer numbers. Sort the elements using any sorting method.

28. Write a program to create a lists of integer numbers and perform the linear and binary search.

29. Write a program to create a lists of cities names and perform the sort the cities name in alphabetical order.

30. Find Mean, Variance and Standard Deviation of List Numbers

31. Write a Program to Find the Transpose of a Matrix.

32. Write a program to perform the matrices multiplication.

33. Write a program to create a dictionary for countries name as key and currency as value. Traversve the dictionary with key:value Pairs in using for Loop.

34. Write a program to create tuples, and perform the following operations: Merging of tuples, Spliting of a tuple, comparison of two tuples.

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35. Write a program to create an intersection, union, set difference, and symmetric difference of sets.

36. Write a program with “MyRectangle” class aving the dimensions as data members and area() as a method member. Calculate the area of each rectangle object created by user.

37. Design a class with name “MyComplex” to represent the complex number including the constructor overloading, methods to perform the arithmetic operation over the two complex numbers. Write the complete python program for the above design.

38. Design a class with name “Distance” to represent the distance in feet and inch. Include the method to calculate the addition of two distances. Write the complete python program for the above design.

39. Write a complete program to implement the Employee and its subclasses (Salarayed Employee, DailyWaged Employee, Commission based employee) given in Hierarchical and multilevel manner. The program should exhibit the use of super key word to invoke the super class constructor.

40. Write a program to open a file and perform the reading and writing operation with the file.

41. Write a program to count the number of line in a file.

42. Write a program to count the frequencies of each word from a file.

43. Write a program to copy the text of a file to another file.

44. Write a program to append a file with the content of another file.

45. Write a program to compare two file.

46. Write a program to delete and insert a sentence at specified position in a file.

47. Write a program to delete a sentence from a file if the file contains a specific word.

48. Write program to delete comment lines from a file.

49. Write a program to capitalize each word of the file.

50. Write a program to handle an exception using exception handling mechanism of the python.

51. Write a program to raise an exception explicitly using raise keyword.

Text Books:1. Y. Daniel Liang, “Introduction to programming using python”, Pearson Education; First edition (2017).

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Reference Books :1. Martin C. Brown, “Python: The Complete Reference”, McGraw Hill Education; Forth edition (2018)2. Mark Lutz,  “Learning Python” O′Reilly Fifth edition (2013)3. Mark Summerfield, “Programming in Python 3: A Complete Introduction to the Python Language”

Pearson Education; Second edition (2018)

Gaps in the Syllabus (to meet Industry/Profession requirements) POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

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1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVE IV (PEI IV)

Course Code: CA320Course Title: Software TestingPre-requisite(s): Co- requisite(s): Computer Network, Operating SystemCredits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

Course Objectives

This course envisions to impart to students to:

1. Have a broad understanding of software requirements in context to end user expectations

2. Familiarize with testing environments and test processes.3. Describe to the students the impact and methods to overcome programming errors4. Devise strategies to detect and rectify common programming errors.5. Conceptualize the role of testing in estimating software quality.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Understand the types and effects of errors and bugs on a software and the testing process

CO2 Apply testing strategies to detect software bugs.CO3 Analyse approaches of verification and validation including static analysis, and

reviews as well as software testing approaches such as unit testing and integration testing.

CO4 Evaluate the software quality and apply test suites like JUnit and selenium for testing software.

CO5 Summarize best practices for coding to ensure good quality software, quality products by applying quality metrics.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction:Software Testing – Psychology of Testing, Verification and Validation, Testing Team and Development Team, Characteristics of Test Engineers, Levels of Testing Principles of Software Testing, Error, Fault, Failure, Incident, Error and Fault Taxonomies, Test Cases, Limitations of Testing Codeinspections, desk checking, group walkthroughs and peer reviews. Overview of Graph Theory for tester.

8

Module – IIFunctional Testing: Boundary Value Analysis, Equivalence Class Testing, Decision TableBased Testing, Cause Effect Graphing Technique. Structural Testing: Path testing, DD-Paths, Cyclomatic Complexity, Graph Metrics, DataFlow Testing, Slice based testing

8

Module – III

Testing Activities: Unit Testing, Levels of Testing, Integration Testing, System Testing, Debugging, Regression Testing, Extreme Testing.

8

Module – IVObject Oriented Testing: Issues in Object Oriented Testing, Class Testing, GUI Testing, Object Oriented Integration and System Testing. Testing Internet applications: Overview, challenges and strategies of testing internet applications.

8

Module – V

Overview of Testing Tools – Need for Automated Testing Tools, Taxonomy of Testing Tools, Functional/Regression Testing Tools, Performance Testing Tools, Testing Management Tools, Source Code Testing Tools, How to select a Testing Tool. WinRunner – Overview of WinRunner, Testing Applications using WinRunner

8

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Text Books:1. JorgensenPaul C., “Software Testing- A Craftsman’s Approach”, Second Edition, CRC Press, 2008. 2. Ammann Paul and OffuttJeff, “Introduction to Software Testing”, Cambridge University Press, Cambridge, UK, ISBN 0-52188-038-1, 2008.

Reference Books:

1. TamresLouise, “Software Testing”, Pearson Education Asia, 2002. 2. PressmanRoger S., “Software Engineering – A Practitioner’s Approach”, Fifth Edition, McGraw-Hill International Edition, New Delhi, 2001. 3. AggarwalK.K. & SinghYogesh, “Software Engineering”, New Age International Publishers, New Delhi, 2003 4. TamresLauise, “Introducing Software Testing”, Pearson Education

Gaps in the Syllabus (to meet Industry/Profession requirements)

1.  Machine Learning in Testing2. Big Data Testing.3. Combining Manual and Automated Testing.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Test Automation.2. Shortening Delivery Cycle3. Digital Transformation with Agile.4. Increasing Adoption of DevOps

 

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

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1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 3 2 3CO2 3 3 3 1 3 1 1 1 2 2 3 2CO3 3 3 3 3 3 1 2 2 1 1 2 3 2 3CO4 3 3 3 1 3 1 1 1 1 2 3 3 2CO5 3 3 3 3 3 1 1 1 1 1 1 2 2 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9

CD3 Seminars CO3CD1, CD2 and CD3

CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA321Course Title: SOFTWARE TESTING LABPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Have a broad understanding of software requirements in context to end userexpectations.

B. Familiarize with testing environments and test processes.C. Describe to the students the impact and methods to overcome programming

errorsD. Devise strategies to detect and rectify common programming errors.E. Conceptualize the role of testing in estimating software quality.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Understand the types and effects of errors and bugs on a software and thetesting process.

CO2 Apply testing strategies to detect software bugs.CO3 Analyse approaches of verification and validation including static

analysis, and reviews as well as software testing approaches such as unit testing andintegration testing.

CO4 Evaluate the software quality and apply test suites like JUnit and selenium fortesting software.

CO5 Summarize best practices for coding to ensure good quality software, qualityproducts by applying quality metrics

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SYLLABUS List of Programs as Assignments:

1. Why testing is required?2. What are the types of testing?3. What is difference between Verification and Validation?4. Explain Principles of Software Testing.5. What are Test Cases?6. Overview of Graph Theory for tester.7. Explain Boundary Value Analysis with example.8. Explain Equivalence Class Testing with example.9. Explain Decision Table Based Testing with example.10. Explain Cause Effect Graphing Technique with example.11. Explain Path testing with example.12. Explain Cyclomatic Complexity with example.13. What are Graph Metrics?14. Explain Dataflow Testing with example.15. Explain Slice based testing with example.16. What are Testing Activities?17. What are Levels of Testing?18. Explain Integration Testing.19. What is System Testing?20. What is Regression Testing?21. What is Extreme Testing?22. What is Debugging?23. Discuss the challenges and strategies of testing internet applications24. What do you understand the Automation Testing Approach ?25. Write and test a program to login a specific web page26. Write and test a program to update 10 student records into table into Excel file27. Write and test a program to select the number of students who have scored more than

60 in any one subject ( or all subjects ).

28. Write and test a program to provide total number of objects present / available on the page.

29. Write and test a program to get the number of list items in a list / combo box.30. Write and test a program to count number of items present on a desktop31. Give an overview of WinRunner, Note down the Testing Applications using WinRunner.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

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Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

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CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

Course Code: CA322Course Title: NETWORK SECURITYPre-requisite(s): Co- requisite(s): Credits: 3 L:3 T:0 P:0Class schedule per week: 03Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Able to understand the fundamentals of security algorithms currently2. Able to understand E-mail security, PEM& S/MIME, PGP, Firewalls.3. Have a broad knowledge of the state-of-the-art and open problems in network

security4. Enhance their potential to do research or pursue a career in this rapidly

developing area.5. Able to be introduced to new developing security features.

Course Outcomes After the completion of this course, students will be able to:

CO1 Identify state-of-the-art and open problems in network securityCO2 Analyse all relevant aspects of security in networks like E-mail security,

PEM& S/MIME, PGP, Firewalls.CO3 Assess the impact of Modes of Operation and problems in networkCO4 Summarise developing security features in networking systems and Real time

communication security

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CO5 Design of secure system and applications

SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction to networking: OSI Reference model, Active vs Passive attacks, Layers and cryptography, Multilevel model of security.

8

Module – II

Modes of Operation: encrypting large messages, Generating MAC’s, Multiple Encryption DES, Hash and message digest: Using Hash for encrypting, MD2, MD4, MD5, SHA1.

8

Module – III

Authentication Systems, Password authentication systems, authentication protocols ,tructed intermediates, session key establishment.Security handshake pitfalls: mutual authentication, Integrity / encryption of data, mediated authentication, strong password protocols.

8

Module – IV

Real time communication security: Session key establishment, perfect forward secrecy, DOS, clogging protection, Arranging for parallel computation, session resumption, data steam protection, plausible deniability.

8

Module – V

E mail security, PEM& S/MIME, PGP, Firewalls.

8

TEXT BOOK1. Kaufman Charlie, Perlman Radia and Speciner Mike, “Network Security: Private

Communication in a Public World”, 2nd Edition, Prentice Hall, 2002.

Gaps in the Syllabus (to meet Industry/Profession requirements)

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POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment 1. Student Feedback on Faculty

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9

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CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

PROGRAM ELECTIVE V

Course Code: CA323Course Title: CYBER FORENSICSPre-requisite(s): Co- requisite(s):Credits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: VI/3Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Provides an in-depth study of the rapidly changing and fascinating field of computer forensics.

2. Combines both the technical expertise and the knowledge required to

investigate, detect and prevent digital crimes

3. Knowledge on digital forensics legislations, digital crime, forensics processes and procedures, data acquisition and validation, e-discovery tools.

4. E-evidence collection and preservation, investigating operating systems and file systems, network forensics, art of steganography and mobile device forensics.

Course Outcomes

After the completion of this course, students will be able to:

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CO1 Understand relevant legislation and codes of ethics.

CO2 Apply Computer forensics and digital detective and various processes, policies and procedures.

CO3 Understand E-discovery, guidelines and standards, E-evidence, tools and environment.

CO4 Learn the techniques of Email and web forensics and network forensics tools.

CO5 Integrate techniques to recover data from computer and hand held devices.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

IPsec protocols - IP Authentication header - IP ESP, Key management protocol for IPsec, Transport layer Security: SSL protocol, Cryptography computations - TLS protocol

8

Module – II

PGP - S/ MIME: Internet Firewalls for Trusted System: Roles of Firewalls - firewall related terminology, Types of Firewalls, Firewall design, Honeycomb design: Set for E-Commerce transactions

8

Module – III

Introduction to traditional cybercrime, Traditional problems associated with cybercrime, Introduction to Identity Theft & Identity Fraud, Types of Cyber Forensics techniques: incident & incident response

methodology, Forensics duplication & investigations, Preparation of IR: Creating response tool kit & IR team, Forensics Technology & Systems

8

Module – IV

Processing Crime & Incident Scenes, Working with windows & DOS systems, Current computer Forensics tools: Software/ hardware tools

8

Module – V

Validating Forensics data, Data hiding techniques, Performing Remote Acquisition, Network Forensics, Email investigations, Cell phone & Mobile devices Forensics

8

Text Books:

1. Albert J. Marcella Jr., & Frederic Guillossou, “Cyber Forensics: From Data to Digital Evidence”, John Wiley and Sons, ISBN-13: 978-1118273661, 2012.

Gaps in the Syllabus (to meet Industry/Profession requirements) NIL

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POs met through Gaps in the Syllabus N. A.

Topics beyond syllabus/Advanced topics/DesignNIL

POs met through Topics beyond syllabus/Advanced topics/Design N. A.

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 2 3 2 3 3 3CO2 3 1 1 1 1 3 1 1 2 1 3 2 3 3 3CO3 2 3 3 1 2 1 2 2 2 3 3 3 3 3CO4 1 1 3 3 1 1 1 1 2 1 2 1 3 2 3CO5 3 3 3 1 2 1 1 2 2 1 3 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

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Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD 8CD2 Tutorials/Assignments CO2 CD1, CD8, CD9

CD3 Seminars CO3CD1, CD2, CD3, CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8, CD9

CD5 Laboratory Experiments/Teaching Aids CO5CD1, CD2, CD3, CD9

CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA325 Course title: UNIX AND SHELL PROGRAMMING Pre-requisite(s): Co- requisite(s): Credits: 4 L: 3 T: 1 P: 0 Class schedule per week: 04 Class: BCA Semester / Level: VI/IIIBranch: BCA

Course Objectives:

This course enables the students: 1. To understand concept of an Operating System.

2. Understand Applications and Features on Unix/Linux.

3. Understand the process in Linux.

4. Using shell as a programming language.

5 At Working with System Calls and Interrupts.

Course Outcomes

After the completion of this course, students will be able to:

CO 1. Understanding the design of Linux kernel components CO 2. Experiencing the kernel by passive/active observation CO 3. Extending the Linux kernel for understanding, self-satisfaction/falsification. CO 4. Exploring current research trends in OS, Linux being the reference OS CO 5. Understanding the design of Linux kernel components

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module I :

Introduction to Unix: Introduction to operating system, Introduction to Unix, Application of Unix, History of Unix, Features of Unix, Typical Unix Based systems, Login and Logout procedure, Introductory commands date, cal, banner, writer, mesg, who, passwd. Files and Directories:Unix Architecture, kernel, shell, Utilities, Unix file system, Unix files, type of files,File naming conventions. Unix Directories, Basic commands for working with Directories pwd,mkdir,cd, ls, Metacharacters and wildcard, rmdir. File Manipulations:File security and Ownership issues, Type of access to files / directories, Determining file access permission, changing the access chmod, chown,chgrp, File management utilities of Unix

8

Module II :

Input Output Redirection and Filters:Input/output redirection in UNIX, Input redirection, Output redirection, standard error redirection. Pipes and Filters. Working with Vim Editor. Introduction to Processes: Processes in Unix, Manipulation of processes, Running processes in the background, Terminating processes.

8

Module III :

Shell Programming - i: Features of the shell, shell as a Programming Language, Creating and executing a shell script, shell variables, Command substitution, Local and Global variables, Conditional execution Operators. Shell Programming – ii: Iteration construct, The case… esacConstruct.Parameters to shell scripts. Shifting the parameters, Listing the shell variables, Creating User define functions.

8

Module IV :

Positioning the Cursor:tput, Interrupt handling. The awk Utility: The awk Utility, The awk program structure, Processing Records, Logical Operators, Special Patterns, Action statements, Print statements. Control flow statements, String and numberic functions in awk. System calls for Low Level Input / Output. File descriptor, File I: Open, read, write and close.

8

Module V :

File Creation: Create, Random access:Iseek, Change directoy: chdir, Determining and changing file access, access system call, chmod system call, chown system call. Status of files:stat, fstat. Linking and unlinking files: link, unlink. System calls for

8

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process management: Introduction, Context of a process, Execution of Processes: exec

TEXT BOOK 1. MichaelRandal K., “Mastering Unix Shell Scripting”, 2nd Edition, Wiley publication.

REFERENCE BOOK 1. VenkateshmurthyM.G., “Introduction to Unix and Shell Programming”, Paperback, Pearson. 2005.2. COURSE OUTCOME (CO) ATTAINMENT ASSESSMENT TOOLS & EVALUATION PROCEDURE

Gaps in the Syllabus (to meet Industry/Profession requirements)

1. Advanced level of shell scripting and shell programming should be introduced.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Advanced design level questions solving skills by lab work should be incorporated.2. Kernel compilation may be introduced.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct AssessmentAssessment Tool % Contribution during CO Assessment

First Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment – 1. Student Feedback on Faculty

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

Course Program Outcomes (POs) Program Page 217 of 261

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Outcome

Specific Outcomes

(PSOs)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

Course code: CA326Course title: Unix and Shell Programming LabPre-requisite(s): C/C++; Knowledge of programming languages Co- requisite(s): OS Lab Credits: 2 L:0 T:0 P: 4 Class schedule per week: 04 Class: Bachelor of Computer Applications Semester / Level: VI/IIIBranch: BCA Course Objectives This course enables the students:

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Course Objectives This course enables the students:A. To understand the basic concepts of UNIX & shell programmingB. To understand the structure of a file system.C. To explore the function of a kernel.D. Use a UNIX text editor to create a shell script and run scripts effectively from the command

line

Course Outcomes After the completion of this course, students will be able to:CO 1.

Will be able to describe and use the UNIX operating system.

CO 2.

Will be able to describe and use the fundamental UNIX system tools and utilities.

CO 3.

We will able to describe and write shell scripts in order to perform basic shell programming.

CO 4.

Will be able to describe and understand the UNIX file system

SYLLABUS

1. Write a shell script to check if the number entered at the command line is prime or not.

2. Write a shell script to modify “cal” command to display calendars of the specified months.

3. Write a shell script to modify “cal” command to display calendars of the specified range of months.

4. Write a shell script to accept a login name. If not a valid login name display message “Entered login name is invalid”.

5. Write a shell script to display date in the mm/dd/yy format.

6. Write a shell script to display on the screen sorted output of “who” command along with the total number of users.

7. Write a shell script to display the multiplication table of any number.

8. Write a shell script to compare two files and if found equal asks the user to delete the duplicate file.

9. Write a shell script to find the sum of digits of a given number.

10. Write a shell script to merge the contents of three files, sort the contents and then display them page by page.

11. Write a shell script to find the LCD(least common divisor) of two numbers.

12. Write a shell script to perform the tasks of basic calculator.

13. Write a shell script to find the power of a given number.

14. Write a shell script to find the greatest number among the three numbers.

15. Write a shell script to find the factorial of a given number.

16. Write a shell script to check whether the number is Armstrong or not.

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TEXT BOOK 1. MichaelRandal K., “Mastering Unix Shell Scripting”, 2nd Edition, Wiley publication.

REFERENCE BOOK 1. VenkateshmurthyM.G., “Introduction to Unix and Shell Programming”, Paperback, Pearson. 2005.2. COURSE OUTCOME (CO) ATTAINMENT ASSESSMENT TOOLS & EVALUATION PROCEDURE

Gaps in the Syllabus (to meet Industry/Profession requirements)

1. Incorporation of advance level of shell scripting and shell programming may be done to meet industry requirement.

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Advanced design level questions solving skills by lab work should be incorporated.2. Kernel compilation may be introduced.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2

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CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVE VI

Course Code: CA327Course Title: System ProgrammingPre-requisite(s): Co- requisite(s): NoneCredits: 4 L: 3 T: 1 P: 0Class schedule per week: 04Class: BCASemester / Level: VI/3Branch: BCAName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. Describe the utility of different system programs & system tools.2. Familiarize with the trade-offs between run-time and compile-time processing

(Linking & Loading techniques).3. To learn the concepts and techniques behind the designing of various system

software.4. To organize the functionalities & components of system software & tools into

different layers for efficient code generation.5. Understand the designing of text editors, debuggers etc.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Elaborate the evolution of various system software.CO2 Define various data structures that helps in the proper functioning of the system

programs.CO3 Analyse basic design of various system software.CO4 Apply functionalities & components of system software & tools into different layers

for efficient code generation.CO5 Development and designing of text editors, debuggers etc.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

Introduction: Evolution of the Components of a Programming System, Assemblers, Loaders, Macros, Compilers, Linkers, Overview of Machine Language.

8

Module – II

Instruction Addressing and Execution: Evolution of Operating Systems, Features of an Operating System, The BIOS Boot Process, The System Program Loader, Stack, Instruction Execution and Addressing, Instruction operands, protected Mode.

8

Module – III

Assemblers: Overview of Assembly Language, Assembly Language Features, Conventional Segment Directives, Assembly Process, Single Pass Assembler, Design of a 2-Pass assembler for 8088.

8

Module – IV

Macros & Macro Processors: Macros, Different forms of Macros, Macros using AIF, AGO, REPT. Etc., Design of a Macro Processor, Macro Assembler. Loaders: Basic Loader Functions, Absolute Loader, Compile & go Loader, Relocating Loader, Direct Linking Loader.

8

Module – V

Linkage Editors: Linking and Relocation, Program Relocatability, Linkage Editor and its Application in IBP-PC, Linking for Program Overlays. Software Tools: Spectrum of Software Tools, Text Editors, Interpreter and Program Generators, Debug Monitors, Programming Environments.

8

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Text Books:1. DhamdhereD.M., “System Programming and Operating Systems”, 2nd Edition., TMH, New Delhi.

Reference Books: 1. AbelPeter, “IBM PC Assembly Language and Programming”, 5th Edition, PHI, New Delhi-2003. 2. 2. DonovanJ.J., “System Programming”, TMH, New Delhi.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Application of macros in Language processing system . 2. Application of text editors.

POs met through Gaps in the Syllabus 3, 5

Topics beyond syllabus/Advanced topics/Design 1. Algorithm for Single Pass Assembler and 2-Pass assembler.2. Utility of system software for efficient code generation.

POs met through Topics beyond syllabus/Advanced topics/Design 2, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

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CO1 3 3 3 2 1 1 2 2 1 1 3 2 2 3 3CO2 3 1 1 1 1 3 1 1 1 2 1 1 2 3 1CO3 2 3 3 1 2 1 2 2 2 1 3 1 3 2 2CO4 1 1 3 3 1 1 1 1 1 1 2 2 3 1 2CO5 3 3 3 1 2 1 1 2 1 2 1 1 2 3 1

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1 CD5, CD8 and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA328 Course title: DISTRIBUTED DATABASE SYSTEMS Pre-requisite(s): Co- requisite(s): None Credits: 4 L: 3 T: 1 P: 0 Class schedule per week: 04 Class: BCA Semester / Level: VI/3 Branch: BCA

Course Objectives This course enables the students to: 1. Introduce principles and foundations of distributed databases2. Learn concepts related to architecture, design issues, integrity control, query

processing3 Understand the concept of a database transaction and related database facilities,

including concurrency control, backup and recovery4. How to interpret the modeling symbols for the most popular ER modeling tools. And

real-world database design which often involves conflicting goals.5. Know the role of the database administrator and data object locking and protocols in

distributed databases

Course Outcomes After the completion of this course, students will be able to: CO1. Understand and successfully apply logical database design principles, including

E-R diagrams and database normalization.CO2. Design and implement a small distributed database projectCO3 Interpret the modeling symbols for the most popular ER modeling tools in context to

real-world database design which often involves conflicting goals.CO4. Describe and discuss selected advanced database topics like the data warehouse.CO5. Apply optimization, transactions, and concurrency control in distributed

environment.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module I:

Introduction: Distributed Data Processing, What is a Distributed Database System? Promises of DDBSs, Problem Areas.

8

Module II:

Distributed DBMS Architecture: DBMS Standardization, Architectural Models for Distributed DBMSs, Distributed DBMS Architecture.

Distributed Database Design: Alternative Design Strategies, Distribution Design Issues, Fragmentation, Allocation.

8

Module III:

Overview of Query Processing: Query Processing Problem, Objectives of Query Processing, Complexity of Relational Algebra Operations, Layers of Query Processing.

Query Decomposition and Optimization: Query Decomposition, Query Optimization, Centralized Query Optimization, Distributed Query Optimization Algorithms.

8

Module IV:

Transaction Management and Concurrency Control: Definition of a Transaction, properties of Transactions, Serializability Theory, Taxonomy of Concurrency Control Mechanisms, Locking-based Concurrency Control Algorithms, Timestamp-based Concurrency Control Algorithms, Deadlock Management.

8

Module V:

Distributed DBMS Reliability: Reliability Concepts and Measures, Failures and Fault Tolerance in Distributed Systems, Failures in Distributed DBMS, Local Reliability Protocols, Distributed Reliability Protocols.

8

TEXT BOOK

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1. OzsuM. Tamer, ValduriezPatrick, “Distributed Database Systems”, 2nd Edition, Pearson, 2011.

REFERENCE BOOKS

1. NavatheElmasri, “Fundamental of Database Systems”, 5th Edition, Pearson Education, 2008. 2. ConnollyThomas, BeggCarolyn, “Database Systems – A Practical Approach to Design, implementation

and Management”, 4th Edition, Pearson Education, 2008. 3. Silberschatz, Korth, &Sudarshan, “Database System Concepts”, 4th Edition, McGraw Hill, 2002.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Network topology2. Communication Schemes3. Semantic Data Control4. Join Ordering in fragments

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Parallel Database System2. Distributed Object DBMS 3. Data delivery alternatives

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program OutcomesPage 228 of 261

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 3 1CO2 3 3 3 1 3 1 1 1 2 3 2 2CO3 3 3 3 3 3 1 2 2 1 1 2 3 2 2CO4 3 3 3 1 3 1 1 1 1 2 3 2 1CO5 3 3 3 3 3 1 1 1 1 1 1 2 2 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9CD3 Seminars CO3 CD1, CD2 and CD3CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course code: CA331 Course title: DECISION SUPPORT SYSTEM Pre-requisite(s): Co- requisite(s): None Credits: 4 L: 3 T: 1 P: 0 Class schedule per week: 04 Class: BCA Semester / Level: VI/3 Branch: BCA Course Objectives This course enables the students: A. To understand the basic components of DSSB. To learn different phases and models for Decision makingC. To understand how to create a distributed database using fragmentation.D. To learn transaction processing in a distributed environment.E. To understand how concurrency control is performed in a distributed environment.

Course Outcomes After the completion of this course, students will be able to: CO1. Discuss the basic components of DSSCO2. Classify the different phases and models for Decision makingCO3. Design a DSS according to the requirements.CO4. Model and develop different levels in DSS using Software engineering principlesCO5. Analyse the system with pros and cons.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module I:

Introduction to DSS:

Definition. Types of DSS. Data and Model Management. DSS Knowledge Base. User interface. The DSS user. Categories and classes of DSS.

8L

Module II:

Decision and Decision-makers:

Definition. Types of decision. Different levels of Decision makers in the organization and their requirement. Decision effectiveness. Simon’s model of decision making. Rational decision making. Bounded rationality. Biases and heuristics in decision making.

8L

Module III:

Group Decision Support System (GDSS):

Group decision making. GDSS modeling. Brainstorming process. MDM support technologies. Managing MDM activities. System perspective of a DSS: DSS in the context of information system. Information quality issues in DSS design. Role of internet in DSS development.

8L

Module IV:

Designing and building DSS:

Strategies for DSS analysis and design. The DSS developer. Tools for DSS development. Implementing and Integrating DSS: DSS implementation. System evaluation. The importance of integration.

8L

Module V:

Intelligent Decision Support system:

The intelligence of Artificial Intelligence. Future of Expert and Artificial Intelligence. Knowledge acquisition for Expert Systems. Future of Intelligent Software Agents and Delegation.

8L

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TEXT BOOK

1. Marakas George M., “Decision Support Systems in the 21st century”, Pearson education.

REFERENCE BOOKS

2. Turban Efraim, “Decision Support Systems and Intelligent Systems”, Pearson Education.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Adoption of Information System 2. Selection of Strategy 3. Optimization Methods

POs met through Gaps in the Syllabus 3, 4, 12

Topics beyond syllabus/Advanced topics/Design 1. Model Development 2. Use of AI for Decision Making

POs met through Topics beyond syllabus/Advanced topics/Design 2, 3, 4, 12

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Mid Semester Examination 25Second Quiz 10Teacher’s Assessment 5End Semester Examination 50

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 1 3 1 1 1 2 2 3 1CO2 3 3 3 1 3 1 1 1 2 3 2 2CO3 3 3 3 3 3 1 2 2 1 1 2 3 2 2CO4 3 3 3 1 3 1 1 1 1 2 3 2 1CO5 3 3 3 3 3 1 1 1 1 1 1 2 2 3 2

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CD Cod

eCourse Delivery Methods Course

OutcomeCourse Delivery

Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD7, CD 8CD2 Tutorials/Assignments CO2 CD1 and CD9CD3 Seminars CO3 CD1, CD2 and CD3CD4 Mini Projects/Projects CO4 CD1 and CD2CD5 Laboratory Experiments/Teaching Aids CO5 CD1 and CD2CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVES(LIST OF SKILL DEVELOPMENT COURSES)

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PROGRAM ELECTIVE(SECI)

PROGRAM ELECTIVE (SECI)

Course Code: CA180Course Title: OFFICE AUTOMATION TOOLSPre-requisite(s): Co- requisite(s):Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: I/1Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

1. To learn automation tools2. To understand the basic of basic technology3. To learn the problem-solving process through computer.4. To know the limitations of automation5. To know the practical application of various automation tools

Course Outcomes

After the completion of this course, students will be able to:

CO1 To solve real time problems using automation toolsCO2 To translate the real time problem into automation problemCO3 To analyse the basic application of automation tools.CO4 To apply different tools for different automation problemsCO5 To decompose a real-time problem into a small automation problems.

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SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I

COMPUTER SCIENCE & OPERATING SYSTEMS (WINDOWS/LINUX)Types of Computer: Analog, Digital, and Hybrid type, Hardware, Software, System software, Application software, Stored Program Concept and Von Newman Architecture, Firm ware, Human ware, Stored Program Concept, Evolution of computers, Generation of computer.Data Processing: Data collection, Classifications, Sorting and Merging, Processing, Summarizing Storing.Data Organisation: Organization Data, Character, Field, Record, File, Database, Sequential Access, Random Access, Indexed Sequential Access.Data Communication: Local Area Network, Wide Area Network, Satellite Communication, Internet.Operating System: Introduction, Different Operating Systems, Loading and Quitting the Operating Systems Important DOS/Windows/Linux Commands.

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Module – II

WINDOWS/Linux1. Windows Introduction,2. Concepts different Operating System GUI/CUI.3. Desktop Icons. (Windows / Desktop Linux)4. My Computer, Recycle Bin, Internet Explorer, Network

Neighbourhood, My Documents5. Working with windows: How to create a Folder, Copying and

cutting files, Renaming6. Programs, Favourites, Documents, Settings, Find, Run, Shut down7. APPLICATION ICONS8. Introduction to Output Devices

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Module – III

PERSONAL COMPUTER SOFTWARE TOOLS (MS WORD,EXCEL AND POWERPOINT)/

1. Open Office Word Processing using MS WORD: An introduction to MS-Word / ON INTRODUCTION TO WORD/Writer.

2. The Word work space, Starting and quitting word,

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Creating and Manipulating Various documents, Editing of proofing files, Merging documents and macros.

3. How to use Mouse and Menu, Working with dialog box4. Primary Command in File Menu: The Open Commands,

The File name commands, The New commands, The Save, Save As, and Save all commands, The Close command, The Page setup, The Print commands, The Exit commands

5. Edit Menu commands: The Cut, Copy, and Paste commands, The Undo and Repeat commands

6. Format commands: Font commands, Paragraph commands7. Other Menu: The view menu, The Insert menu, The tool

menu, The table menu, The Window menu

Module – IV

EXCEL1. BUILDING A SIMPLE WORKSHEET2. Entering Text, Entering Values, Entering

Dates and Times, Moving Around, Selecting Ranges, Using Menu, Using

3. Tool Bar, Using Shortcut Menus, Changing Entries, Copying Entries, Moving Entries, Inserting and Deleting cells

4. FORMATTING BASICS5. Changing Character Style, Changing Alignment, Changing Column

Width6. WORKING WITH MULTIPLE WORKSHEET7. Copying entries between work books, Moving sheets

between work books, Deleting sheets, Quitting Excel8. OPENING EXISTING WORKBOOKS9. Simple calculations, Doing Arithmetic, Totalling column

of values, Naming cells and Ranges10. FORMATTING TEXT11. Displaying dollars and cents, Formatting decimal places,

dates Format, Copying style and formats12. FORMULAS THAT MAKE DECISIONS13. Using the IF function, Using the nested IF function, Copying

formulas14. Checking Spelling, Printing Worksheets, Preview Worksheets,

Setting up the pages,15. Sorting data, Keeping Leading in View, Finding records,

Adding and deleting Records, Filtering Records16. Plotting charts, Sizing and moving charts, Updating

charts, changing the chart type, Using chart auto format17. Creating Macros, Recording Macros, Running Macros

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Module – V 5

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POWER POINT1. Main Features of Power Point2. MAKING THE PRESENTATION3. Creating Template with the Auto Content Wizard.

Creating a Presentation with a Template. Creating a presentation from Scratch

4. DIFFERENT VIEWS5. Normal Slide, Outline, Slide Sorter, Slide Show, Notes, Slide

Master6. ANIMATION, ART AND SOUND7. Controlling Transitions between slides.

Animating Different Parts of a slide. Inserting a Motion Clip. Including

8. Sounds in slides.9. INCLUDING GRAPHS, CHARTS, TABLES AND COLUMNS10. Organization Chart Slide, Creating a table Slide.

Creating two column Slide, Module 1: Showing A Presentation,

11. Rehearsing/ Timing a Presentation, Designation some slides as “Hidden”, Viewing Slides Anywhere in a Slide Show.

12. Techniques for Making a Show Livelier13. OFFICE CONNECTIONS14. Presenting with the help of other Office Programs

Importing the text from a World Document.15. Printing a Presentation

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Introduction to graphics and animation tool.2. Multimedia Introduction.

POs met through Gaps in the Syllabus 1,2,3,4

Topics beyond syllabus/Advanced topics/Design3. Animation.4. App development.

POs met through Topics beyond syllabus/Advanced topics/Design 3, 5, 7, 8,

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment

Assessment Tool % Contribution during CO AssessmentFirst Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest Lectures

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CD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

PROGRAM ELECTIVE (SEC-II)

Course Code: CA181Course Title: Desktop Publishing.Pre-requisite(s): C/C++; Knowledge of programming languagesCo- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: II/1Branch: Bachelor of Computer ApplicationsName of Teacher: Course Objectives

This course envisions to impart to students to:

A. Able to create a new document using Desktop Publishing software.B. Learn the advantages of Desktop Publishing software.C. To understand the idea of Desktop Publishing software.D. To know the applications of Desktop Publishing software.E. To understand the basic concepts of Desktop Publishing software.

Course Outcomes

After the completion of this course, students will be able to:

CO1 Identify the application of Desktop Publishing softwareCO2 Apply the basic idea of Desktop Publishing softwareCO3 To analyse a photo using Desktop Publishing softwareCO4 Apply Desktop Publishing software to manage a page in better wayCO5 Create a template to solve a real time problem

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SYLLABUS:

INTRODUCTIONi. Introduction to Desk Top Publishing packages, Components of Desk Top Publishing

packages. CREATING A NEW DOCUMENT

ii. Setting the Margins, Setting the Page Size, Changing the page Orientation, Setting Page Numbers, Changing the Page Size view, Creating New Document Windows: Displaying the Rulers, Changing the Rulers, Using Rulers, Using Guidelines, Positioning Guidelines., Adding Guidelines to Master Pages. Aligning to Guidelines, Displaying Guidelines, Locking Guidelines. Formatting Types: Changing Font Families, Changing Fond Sizes, Changing Typeface Style, Changing Character Specifications: Changing Type leading, Changing Character Widths, Changing Tracking, Changing Type Options. Saving Your Document: Saving a new Document, Saving an existing Document, Saving a Document as another document, Reverting to a Previously Saved Version. Developing Paragraphs: Typing Text, Adding special Characters to Text, Aligning Text. Formatting paragraphs: Changing Indents, Changing the space around Paragraphs, Changing paragraph Alignment, controlling How Paragraphs Break Between Pages and Columns, Adding lines Above or Below Your Paragraphs.

2. INTRODUCTION TO CREATING FRAMESi. Converting Other Objects to Frames, Threading and Unthreading Text. Threading

additional Text, Threading Text to Different Page, Unthreading Text Blocks, Rethreading Text Blocks, Making Text Blocks Disappear Without Deleting them, Selecting and Dragging Text, Editing Deleting Text, Cut, Copying, Pasting Text, Viewing the Contents of Clipboard, Using Undo and Revert. Inserting and Removing Pages: Inserting and Removing Pages, Adjusting Spacing of Characters, Words, Lines Adjusting, Spacing and Leading, Setting and changing Tabs.

3. Introduction to Auto Flow, page maker Plug-Ins, Drop Cap, Change Case, Bullets and Numbering.4. ADDING DESIGN ELEMENTS- INTRODUCTION

i. Adding Graphics to your Document, Adding Lines, Changing Lines Specifications, Adding Shapes, changing Shape specifications, Changing Line and fill, Specifications together (Fill and Stroke), Changing Round Corners, Creating Drop-Shadow, Boxes, Text wrap, Changing page maker Options: Adjusting Margins, Setting and Adjusting Columns, Setting Unequal Width Columns, Creating headers and Footers, Creating Graphics in page maker, Rotating Text, Skewing and Mirroring objects with Control Palette. Importing Graphics into page maker: Placing, Sizing, aligning Graphics, Cropping Graphics.

5. SETTING UP TEMPLATESi. Setting Up Master Page Templates, Creating Custom Page Sizes, Creating Custom

Boarders, Creating a News Paper Template, Creating New master Pages, Saving an existing Page As a Master Page. Setting UP Custom Styles: Defining Styles, Creating, Editing, Removing Styles and Copying Styles.

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1 Installation of Operating Systems2 Working with Windows Operating system.

3 Get familiar with Linux Operating.4 Lab ion open office. 5 Document formatting in word/Mail Merge6 Printing in Word.7 Lab on spreadsheet.8 Formatting data on spreadsheet9 Working with Multiple worksheet/Formulas/Sorting /Filtering10 Configuration of Samba Server.11 File configuration.12 Introduction to Desk Top Publishing.13 Creating documents using photo editing packages.14 Lab on photo editing packages

TEXT BOOK

1., “Computer Basics with office Automation” by KumarArchana, IK International Publishing,2010, ISBN 9789380578620.

REFERENCE BOOK1. “BPB's Office 2010 Course Complete Book For Learning Better And Faster” by Prof. JainSatish,

Kratika, GeethaM., BPB publisher.2. Desktop publishing by B Kumar, BPB Publisher.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

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Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA280Course Title: HTML PROGRAMMINGPre-requisite(s): Co- requisite(s): Problem Solving And Programming In Html, Xml. Servlet , JspCredits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: II/IIBranch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A. Able to understand the basic concepts of HTMLB. Learn the advantages of HTMLC. To understand the structure of HTML pageD. To know the applications of HTMLE. To understand the difference between HTML with other language

Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to create a HTML pageCO2 Able to analyse a HTML pageCO3 Able to modify a HTML pageCO4 Able to create a HTML page using table, background and picture.CO5 Able to use CSS for a HTML page.

SYLLABUS

MODULE(NO. OF

LECTURE HOURS)

Module – I Introduction (1L): HTML Document structureThe Basics (2L): Head, Body, Lists: ordered & unordered

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Module – II

Links (3L): Introduction, Absolute links & Relative links, using the ID attribute to link within a document

Module – III

Images (2L): Putting an image on a page, using images as links, putting an image in the background

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Module – IV

Tables (3L): Creating a table, Table headers, spanning multiple columns, styling table Forms (3L): Basic input and attributes, other kinds of inputs, styling forms with CSS

8

Module – V

PHP ProgrammingIntroduction to PHP: PHP introduction, important tools & s/w requirement, Scope of PHP, Basic syntax, variable & constants, data type, expressions, scope of variables, operators.Handling HTML form with PHP: Capturing form data, GET and POST methods, Dealing with multi value fields, Redirecting a form after submissionPHP conditional events & loops: PHP conditional statements, switch case, while, for and do … while loopsPHP functions: Need of function, Default argument, Functions call by value and call by reference String Manipulation & regular expression: Creating and accessing string, Searching & replacing string, formatting, joining and splitting String, String related library functionsArray: Creating index based and Associative array

S/w Lab based on PHP:

a) Create a PHP login page having user name and password. On clicking submit button, a Welcome message should be displayed if the user is already registered otherwise error message should be displayed.

b) Create a “birthday countdown” script which will count the number of days between current day and birthday.

8

Text Books:1. “Introduction to HTML and CSS”, O’Reilly, 2010.2. DuckettJon, “HTML and CSS”, John Wiley, 2012.

S/w Lab based on HTML:

1. Create an HTML document with the following formatting options:Page 245 of 261

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a. Text formattingb. Heading stylesc. Font (Type, size and color)d. Background (colored background and image in background)e. Paragraph/ Division

2. Create a HTML document which consists ofa. Ordered Listb. Unordered Listc. Nested Listd. Image

3. Create a HTML document which implements internal/ external linking4. Create a table with the view5. Create a form using HTML tags which has the following type of controls:

a. Text Boxb. Option/ radio buttons/ Check boxc. Reset and Submit buttonsd.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

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CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

PROGRAM ELECTIVE (SEC-III)

Course Code: CA281Course Title: PROGRAMMING IN VISUAL BASIC/GAMBASPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

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Course Objectives

This course envisions to impart to students to:

A Able to understand the basic concepts of Visual BasicB Learn the advantages of Visual BasicC To understand the structure of Visual BasicD To know the applications of Visual Basic LE To understand the difference between Visual Basic with other language

Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to create a Visual Basic projectCO2 Able to solve real-time problem using Visual BasicCO3 Able to analyse any logical and numerical problems using Visual BasicCO4 Able to create a form using Visual BasicCO5 Able to create an application using frontend and backend

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NEXT

SYLLABUS

List of Programs as Assignments:

1. Print a table of numbers from 5 to 15 and their squares and Cubes.2. Print the largest of three numbers.3. Find the factional of a number n.

4. Enter a list of positive numbers terminated by zero. Find the sum and average of these numbers.

5. A person deposits Rs. 1000 in a fixed account yielding 5% interest. Complete the amount in the account at the end of each year for n years.

6. Write a VB application to choose your hobbies from a list.7. Read n numbers. Count the number of negative numbers, positive numbers and zeroes

in the list. Use arrays.8. Read a single dimension array. Find the sum and average of these numbers.9. Read a two dimension array. Find the sum of two 2D Array.10. Create a database Employee and Make a form in VB 6.0 to allow data entry to

Employee Form with the following command buttons:

Employee Form

Employee Id

Employee Name

Date of Joining

Designation

Department

Address

Basic Pay

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CANCEL

ADD

DELETE

SAVE

LAST

FIRST

PREVIOUS

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Text Book: Beginner's Guide to Gambas by John Rittinghouse, Kindle Edition

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

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Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

Course Code: CA284Course Title: PROGRAMMING IN SCI LABPre-requisite(s): Co- requisite(s): Credits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: III/2Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course envisions to impart to students to:

A Able to understand the basic concepts of SCILABB Learn the advantages of SCILABC To understand the structure of SCILABD To know the applications of SCILABE To understand the difference between SCILABwith other language

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Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to write a SCILAB programCO2 Able to solve real-time problem using SCILABCO3 Able to analyse any logical and numerical problems using SCILABCO4 Able to create a function using SCILABCO5 Able to create an 3D histogram using 3D histogram

SYLLABUS

List of Programs as Assignments:

1. Write a program in scilab to input an one dimensional array and a 2D array in the console.

2. Write a program in scilab to input a zero array.3. Write a program in scilab to Input an identity array.4. Write a program in scilab to input a variable.5. Write a program in scilab to use the Plot function for drawing a sine wave.6. Write a program in scilab for 3D ploting using surf function.7. Write a program in scilab to use the scf and clf function.8. Write a program in scilab to show the use of histplot.9. Write a program in scilab to find the area of triangle.10. Write a program in scilab to find the area of a rectangle.11. Write a program in scilab to find the addition of two simple 1D array.12. Write a program in scilab to find all the possible operations on array.13. Write a program in scilab to find the length of an array.14. Write a program in scilab to demonstrate the use of matplot function.15. Write a program in scilab to show the use of champ function.16.. Write a program in scilab for random number

generation using all the function possible in scilab for random number generation.

17. Write a program in scilab to show the use of plot2d2 function.18. Write a program in scilab to show the use of plot2d3 function.19. Write a program in scilab to show the use of plot2d4 function.

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20. Write a program in scilab to show the use of LineSpec function.21. Write a program in scilab to find the perimeter of parallelogram.22. Write a program in scilab to find the volume of an sphere.23. Write a program in scilab to find the possible operations on complex numbers.24. Write a program in scilab to find the division of a complex number.25. Write a program in scilab to display maximum among five numbers.26. Write a program in scilab to show the animation using comet function.27. Write a program in scilab to show the animation using paramfplot2d function.28. Write a program in scilab to show the 3D histogram.29. Write a program in scilab to calculate the nature of roots of a quadreatic equation. Input data from user.

30. Write a program in scilab to perform the operation on data Through File Reading and Writing.

Text Book: Introduction to Scilab For Engineers and Scientist by Sandeep Nagar, Apress Publisher.

Gaps in the Syllabus (to meet Industry/Profession requirements) 1. Applications based on have not been discussed2. Problem based on graph has been discussed.

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

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1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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PROGRAM ELECTIVE (SEC-IV)

Course Code: CA380Course Title: Computerized Accounting Pre-requisite(s): Basic knowledge of AccountancyCo- requisite(s): Knowledge of programming languagesCredits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher:

Course Objectives

This course enables the students to:

A Able to understand the basic concepts of Financial PackagesB Learn the advantages of Financial PackagesC To understand the structure of Financial PackagesD To know the applications of Financial Packages E To understand the pros and cons of Financial Packages

Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to write programCO2 Able to solve real-time problem using Financial PackagesCO3 Able to analyze any logical and numerical problems using Financial PackagesCO4 Able to create a function using Financial PackagesCO5 Able to create an accounting software.

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SYLLABUS 1 How would you configure Financial Data for a specific financial year?2 How would you create a Ledger, Group?3 How would you display, alter & delete Ledger ?4. Describe the process of entering Vouchers5 Describe the process of Payment, Receipt, Journal, Sales and Purchase order.6 How would you display, alter and delete the Vouchers?7 Describe the various options of reports.8 Day Books Cash and Bank & Ledgers Books9 How would you display Trail Balance, Profit & Loss Statement ? 10 How would you create Balance Sheet in columns and rows?11 How would you cost categories with cost centers in Financial Packages.12 Various options of shortcut or Function Key.13 Various options printing reports in Financial Packages.14 Understanding “by cash flow” and “fund flow” in Financial Packages.15 Describe the Accounts with Inventory company in Financial Packages.16 Create a Stock, Stock Unit & Alternate units, Stock Group & Stock Item17 Describe the sales voucher, Sales invoice and purchase invoice.18 How would you display stock group and stock item ?19 How would you sales & purchase with tax Auto calculation?20 Sales bill with auto discount using Financial Packages.21 Creation of Employee payroll using Financial Packages.22 How would you delete a company, Modify company using Financial Packages.

Text Books: 1. Real Accounting Software by A.K. Nadhani, BPB Publisher, 2003

Reference Books: 2. Computerized Accounting System by Manoj and Ajay, Sahitya Bhutan Publisher

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

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Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest Lectures

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CD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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Course Code: CA381

Course Title: Graphic Design Pre-requisite(s): Computer GraphicsCo- requisite(s): Knowledge of programming languagesCredits: 2 L:0 T:0 P:4Class schedule per week: 04Class: BCASemester / Level: V/3Branch: Bachelor of Computer ApplicationsName of Teacher: Course Objectives

This course enables the students to:

A. Able to understand the basic concepts of Graphic Design and Photo Editing Packages.

B. Learn the advantages of Graphic Design and Photo Editing Packages.C. To understand the structure of Graphic Design and Photo Editing Packages.D. To know the applications of Graphic Design and Photo Editing Packages.E. To understand the difference between different Graphic Design and Photo

Editing Packages

Course Outcomes

After the completion of this course, students will be able to:

CO1 Able to analyze any photo using Graphic Design and Photo Editing Packages.CO2 Able to apply use layer masks, filters and blending modesCO3 Able to create, edit and work with textCO4 Able to Design layouts for web pages, Paper Adverts, Brouchers, CD

Covers, Package DesigningCO5 Able to create new layers and perform other basic layer functions

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SYLLABUS

1 Interface Graphic Design and Photo Editing Packages and workspace, Document setup width height & resolution.

2 What are the kinds of Tools in the toolbox? ( Tool Palette and Interface - The Tool Palette - Painting and Editing - Custom Brushes)

3. Using selection tools, transform, marquee, crop, lesso, magic wand, eraser etc.( Basic Photo Corrections - Rotating, Scaling, and Distorting with Transformations - Feathering and Info Palette - Understand Resolution - Touch up Tools)

4 What are foreground and background colors?5 How do you change the size of a picture?

Text Book: GIMP Pocket Reference: Image Creation and Manipulation, by Sven Neumann, O’Reilly Publisher, 2000.

Gaps in the Syllabus (to meet Industry/Profession requirements)

POs met through Gaps in the Syllabus

Topics beyond syllabus/Advanced topics/Design

POs met through Topics beyond syllabus/Advanced topics/Design

Course Outcome (CO) Attainment Assessment Tools & Evaluation Procedure

Direct Assessment Assessment Tool % Contribution during CO Assessment

First Quiz 10Second Quiz 10Viva voce 20Day to day performance 30Exam Evaluation performance 30

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Indirect Assessment

1. Students’ Feedback on Course Outcome.

Mapping of Course Outcomes onto Program Outcomes

CourseOutcome

Program Outcomes (POs)

Program Specific

Outcomes (PSOs)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15CO1 3 3 3 2 1 1 2 2 1 1 1 1 1 2 2CO2 3 1 1 1 1 3 1 1 2 1 1 2 3 2 3CO3 2 3 3 1 2 1 2 2 1 1 1 2 2 2 3CO4 1 1 3 3 1 1 1 1 1 1 1 1 2 3 3CO5 3 3 3 1 2 1 1 2 1 1 2 1 1 2 3

Correlation Levels 1, 2 or 3 as defined below:

1: Slight (Low) 2: Moderate (Medium) 3: Substantial (High)

Mapping Between COs and Course Delivery (CD) methods

CDCode Course Delivery Methods Course Outcome

Course Delivery Method Used

CD1 Lecture by use of Boards/LCD Projectors CO1 CD1, CD8CD2 Tutorials/Assignments CO2 CD1, CD8 and CD9CD3 Seminars CO3 CD1, CD2 and CD5

CD4 Mini Projects/Projects CO4CD1, CD5, CD8and CD9

CD5 Laboratory Experiments/Teaching Aids CO5 CD1, CD2 and CD9CD6 Industrial/Guest LecturesCD7 Industrial Visits/In-plant Training

CD8 Self- learning such as use of NPTEL Materials and Internets

CD9 Simulation

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